Details of a Researcher - Mitsukura, Yasue

Papers - Mitsukura, Yasue

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Feature of autonomic nerve activity during different eye conditions in dry eye with unstable tear film

Minako Kaido; Reiko Arita; Yasue Mitsukura; Brian Sumali; Kazuo Tsubota

Investigative Ophthalmology & Visual Science (Investigative Ophthalmology & Visual Science) Vol. 65 ( Issue 7 ) 2955 2024.06

Purpose : Neurological abnormality has been suggested to be involved in the pathogenesis of dry eye (DE) disease. We previously reported that autonomic nerve activity (ANA) may be a key for the symptom manifestation in short break up time of tear film (BUT) DE (sBUTDE), which exhibits severe symptoms even with little epithelial damage (Kaido et al. Invest Ophthalmol Vis Sci. 2023). In this study, we investigated whether the cause of ANA modulation is peripheral or central.

Methods : This prospective, cross-sectional, comparative clinical study included 23 eyes of 23 patients with sBUTDE (mean age: 55.2 ±16.1 years), who were receiving conventional treatments, and 16 eyes of 16 non-DE controls (mean age: 55.4 ± 16.5 years). An ANA measurement and the Japanese version of the Ocular Surface Disease Index (J-OSDI) were administered. ANA was continuously measured for 10 min. under each of three conditions: eyes closed, eyes open, and eyes open under ocular surface anesthesia. The parameters were component of low-frequency (LF) reflecting cardiac sympathetic and parasympathetic nerve activity, high-frequency (HF) reflecting parasympathetic nerve activity alone, ration of LF over HF (LF/HF), component coefficient of variation (ccv) of LF (ccvLF), and ccvHF.

Results : In sBUTDEs, HF and ccvHF were higher when the eyes are open than when the eyes are closed; LF/HF was higher when the eyes are closed than when the eyes are open, whereas non-DEs showed the opposite response. The difference values of HF, ccvHF, and LF/HF between the eyes closed and open were greater in sBUTDE than in non-DE. There were no significant changes in all parameters between the open eyes with and without anesthesia in both groups. In addition, the multiple regression analysis to determine the factors affecting J-OSDI scores with ANA parameters as independent variables showed that HF under eyes open was significantly associated with the J-OSDI scores.

Conclusions : The symptom manifestation in sBUTDE may be explained by abnormalities in ANA, and the fact that blockade of peripheral stimulation does not change ANA may suggest central involvement of ANA.

Electroencephalogram-detected stress levels in the frontal lobe region of patients with dry eye

Minako Kaido, Reiko Arita, Yasue Mitsukura, Kazuo Tsubota

The Ocular Surface (ELSEVIER) Vol. 32 139 - 144 2024.04

Purpose
To evaluate stress levels extracted from prefrontal electroencephalogram (EEG) signals and investigate their relationship with dry eye symptoms.

Methods
This prospective, cross-sectional, comparative study included 25 eyes of 25 patients with aqueous tear-deficient dry eye (low Schirmer group), 25 eyes of 25 patients with short tear breakup time dry eye (short breakup time group), and 24 eyes of 24 individuals without dry eye. An EEG test, the Japanese version of the Ocular Surface Disease Index (OSDI), and a stress questionnaire were administered. EEG-detected stress levels were assessed under three conditions: eyes closed, eyes open, and eyes open under ocular surface anesthesia.

Results
Stress levels were significantly lower when the eyes were closed than when they were open in all groups (all P < 0.05). Stress levels during eyes open under ocular surface anesthesia were significantly lower than those during eyes open without anesthesia only in the low Schirmer group; no differences were found between the short breakup time and control groups. OSDI scores were associated with EEG-detected stress levels (P = 0.06) and vital staining score (P < 0.05) in the low Schirmer group; they were not associated with EEG-detected stress (P > 0.05), but with subjective stress questionnaire scores and breakup time values in the short breakup time group (P < 0.05).

Conclusions
In the low Schirmer group, peripheral nerve stimulation caused by ocular surface damage induced stress reactions in the frontal lobe, resulting in dry eye symptoms. Conversely, in the short breakup time group, the stress response in the frontal lobe was not related to symptom development.

Unraveling the Influence of Age, IQ, Education, and Negative Symptoms on Neurocognitive Performance in Schizophrenia: Conditional Inference Tree Analysis

Xenia M. Hart, Yasue Mitsukura, Robert Bies, Hiroyuki Uchida

Pharmacopsychiatry (Thieme) 2024.03

Introduction The complex nature of neurocognitive impairment in schizophrenia has been discussed in light of the mixed effects of antipsychotic drugs, psychotic symptoms, dopamine D2 receptor blockade, and intelligence quotient (IQ). These factors have not been thoroughly examined before.

Methods This study conducted a comprehensive re-analysis of the CATIE data using machine learning techniques, in particular Conditional Inference Tree (CTREE) analysis, to investigate associations between neurocognitive functions and moderating factors such as estimated trough dopamine D2 receptor blockade with risperidone, olanzapine, or ziprasidone, Positive and Negative Syndrome Scale (PANSS), and baseline IQ in 573 patients with schizophrenia.

Results The study reveals that IQ, age, and education consistently emerge as significant predictors across all neurocognitive domains. Furthermore, higher severity of PANSS-negative symptoms was associated with lower cognitive performance scores in several domains. CTREE analysis, in combination with a genetic algorithm approach, has been identified as particularly insightful for illustrating complex interactions between variables. Lower neurocognitive function was associated with factors such as age>52 years, IQ<94/95,<12/13 education years, and more pronounced negative symptoms (score<26).

Conclusions These findings emphasize the multifaceted nature of neurocognitive functioning in patients with schizophrenia, with the PANSS-negative score being an important predictor. This gives rise to a role in addressing negative symptoms as a therapeutic objective for enhancing cognitive impairments in these patients. Further research must examine nonlinear relationships among various moderating factors identified in this work, especially the role of D2 occupancy.

Development of Novel Automatic Real-Time Face Recognition System for Cynomolgus Monkeys

Yosuke Numata, Brian Sumali, Kenichiro Hayashida, Hideshi Tsusaki, Masato Yasui, Yasue Mitsukura

Journal of Pharmacological Sciences Vol 154 ( Issue 2 ) 2024.02

Many glaucoma treatments focus on lowering intraocular pressure (IOP), with novel drugs continuing to be developed. One widely used model involves raising IOP by applying a laser to the trabecular iris angle (TIA) of cynomolgus monkeys to damage the trabecular meshwork. This model, however, presents challenges such as varying IOP values, potential trabecular meshwork damage, and risk of animal distress. This study investigated whether animals with naturally high IOP (>25 mmHg) could be used to effectively evaluate IOP-lowering drugs, thereby possibly replacing laser-induced models. Relationships between TIA size, IOP, and pupil diameter were also examined. Three representative IOP-lowering drugs (latanoprost, timolol, ripasudil) were administered, followed by multiple IOP measurements and assessment of corneal thickness, TIA, and pupil diameter via anterior segment optical coherence tomography (AS-OCT). There was a positive correlation was noted between IOP and corneal thickness before instillation, and a negative correlation between IOP and TIA before instillation. Our findings suggest animals with naturally high IOP could be beneficial for glaucoma research and development as a viable replacement for the laser-induced model and that measuring TIA using AS-OCT along with IOP yields a more detailed evaluation.

Evaluation of a new portable corneal topography system for self-measurement using smartphones: a pilot study

Hidenaga Kobashi, Kazuo Tsubota, Shunsuke Aoki, Masaaki Kobayashi, Brian Sumali, Yasue Mitsukura

Graefe's Archive for Clinical and Experimental Ophthalmology (Springer) Vol. 262 2199 - 2207 2024.02

Purpose
Herein, we propose the use of the “KeraVio Ring”, which is a portable, selfie-based, smartphone-attached corneal topography system that is based on the Placido ring videokeratoscope. The goal of this study was to evaluate and compare corneal parameters between KeraVio Ring and conventional corneal tomography images.

Methods
We designed the KeraVio Ring as a device comprising 3D-printed LED rings for generating Placido rings that can be attached to a smartphone. Two LED rings are attached to a cone-shaped device, and both corneas are illuminated. Selfies were taken using the KeraVio Ring attached to the smartphone without assistance from any of the examiners. Captured Placido rings on the cornea were analysed by intelligent software to calculate corneal parameters. Patients with normal, keratoconus, or LASIK-treated eyes were included. Anterior segment optical coherence tomography (AS-OCT) was also performed for each subject.

Results
We found highly significant correlations between the steepest and flattest keratometry, corneal astigmatism, and vector components obtained with the KeraVio Ring and AS-OCT. In subjects with normal, keratoconus, and LASIK-treated eyes, the mean difference in corneal astigmatism between the two devices was -0.8 ± 1.4 diopters (D) (95% limits of agreement (LoA), -3.6 to 2.0), -1.8 ± 3.7 D (95% LoA, -9.1 to 5.5), and -1.5 ± 1.3 D (95% LoA, -4.0 to 1.1), respectively.

Conclusions
The experimental results showed that the corneal parameters obtained by the KeraVio Ring were correlated with those obtained with AS-OCT. The KeraVio Ring has the potential to address an unmet need by providing a tool for portable selfie-based corneal topography.

カニクイザルにおける睾丸サイズと疼痛閾値の周期的変化

森大輝*, 満倉靖恵, 沼田洋輔, 林田健一郎

第97回日本薬理学会年会 ( 第97回日本薬理学会年会) 2023.12

Cynomolgus monkeys, like humans, are continuous breeders and while the female sexual cycle has been extensively studied, little is known about male sexual cycles, such as periodic changes in the testicle size. Although testosterone, the primary male hormone secreted by the testicles, has been demonstrated to increase pain thresholds in humans and animals, whether testicle size affects pain thresholds is unknown. In the present study, we measured the testicle size in 7 matured male cynomolgus monkeys (6-8 years old) once a week for 23 weeks and observed that there were periodic changes in testicle size, with an average interval between peak points of 36.5 days. We also examined pain thresholds in these animals by measuring paw withdrawal temperatures (PWTs) in the dorsal hind paws once a week for 22 weeks. Similar to the testicles, PWTs underwent periodic changes with an average interval between peak points of 27.6 days. Although their cycles were not synchronized, the mean values of testicle size and PWTs showed a significant correlation (P = 0.019). These results demonstrate the presence of male sexual cycle and indicate the relationship between testicle size and pain thresholds in cynomolgus monkeys, providing new insights into research not only in primates, but also in other continuous breeders, including humans.

Dexamethasone induces sleep disturbance in a dose-dependent manner in mice

Tomonobu Kato*, Gento Okawa, Kenji F. Tanaka, Yasue Mitsukura

PLOS ONE (PLOS ONE) Vol. 18 ( No. 2 ) e0296028 2023.12

Synthetic corticosteroids, the most well-known anti-inflammatory drugs globally, are effective against inflammatory diseases despite their adverse effects that decrease a patient’s quality of life (QOL). One of these effects is sleep disturbance, which causes other health issues and further diminishes the QOL. However, the acute effects of steroid drugs on sleep-wake issues are not fully understood and must be clarified in detail using experimental animals. Therefore, this study examines the dose-dependent effect of dexamethasone (DXM), one of the strongest steroid drugs, on the sleep-wake architecture of mice. We conducted acute DXM administration at multiple doses and 24-hour EEG/EMG recordings. Our results revealed that DXM increased the time spent in arousal and decreased that of NREM sleep, even at very low doses. These results imply that steroid-induced sleep disturbance must be addressed at any dosage.

Autonomic Nerve Activity Features According to Dry Eye Type

Minako Kaido, Reiko Arita, Yasue Mitsukura, and Kazuo Tsubota

Investigative Ophthalmology & Visual Science (Investigative Ophthalmology & Visual Science) Vol. 64 ( No. 7 ) pp. 19 2023.06

Purpose: The purpose of this study was to investigate the association between autonomic nerve activity and symptom intensity according to the type of dry eye (DE).

Methods: This prospective, cross-sectional, comparative study included 25 eyes of 25 patients with short tear break-up time DE (sBUTDE; mean age = 57.4 ± 11.4 years, range = 30–74 years) and 24 eyes of 24 patients with aqueous tear-deficient DE (ADDE; mean age = 62.3 ± 10.7 years, range = 29–76 years) were studied. Autonomic nerve activity was examined, and the Japanese version of the Ocular Surface Disease Index (J-OSDI) and a stress check questionnaire were administered. Autonomic nerve activity was continuously measured for 10 minutes. The parameters were low-frequency (LF) and high-frequency (HF) components of heart rate variability, reflecting cardiac sympathetic and parasympathetic nerve activity, and parasympathetic nerve activity alone, respectively; and the coefficient of variation of R wave-to-R wave (RR) interval (cvRR), component coefficient of variation of LF (ccvLF), and component coefficient of variation of HF (ccvHF), reflecting fluctuation of RR interval, LF, and HF, respectively.

Results: Higher J-OSDI scores were associated with higher HF, ccvHF, and subjective stress in sBUTDE, showing a significant correlation (r = 0.53, P < 0.01; r = 0.55, P = 0.01; and r = −0.66, P = 0.01); no correlations were observed between the J-OSDI score and autonomic parameters and stress in ADDE.

Conclusions: DE symptoms were significantly associated with the magnitude and fluctuation of parasympathetic activity in sBUTDE. Thus, among the autonomic parameters, parasympathetic activity is involved in the development of symptoms in sBUTDE, whereas the involvement of the autonomic nervous system may be minimal in ADDE.

Violet Light Therapy for Improving Sleep Quality: a Pilot Study

Yasue Mitsukura, Brian Sumali, Motoshi Hayano, Kazuo Tsubota

Investigative Ophthalmology & Visual Science (Investigative Ophthalmology & Visual Science) Vol. 64 ( Issue 8 ) 2023.06

Purpose : Violet light (VL) is a part of natural sunlight with shorter wavelength than blue light and recently found to be beneficial for various parts of human health. However, the connection between VL and sleep is yet to be explored. This pilot study aims to elucidate the connection between VL and sleep quality with the hope to verify the potential effectiveness of VL therapy on sleep disorders.

Methods : Two experiments with similar protocol were conducted. The participant was instructed to arrive before 9AM with minimal exposure to sunlight. Then, they were instructed to perform a regular deskwork for three hours, from 09:10 until 12:10. During the night, their sleep was measured using apple watch. For the first experiment, the participants were 6 university students (M/F ratio 1:1) with experiment duration of 5 days (3 Intervention, 2 Control). For the second experiment, a university student (female) performed the experiment for 2x28 days, one as control period and the other 28 days as intervention period. The main measures of this study are body temperature (only for experiment 1) and sleep stages.

Results : For experiment 1, the body temperature differences show that the body temperature is higher before sleep compared to the sleep during the intervention periods as opposed to increasing temperature during control period. REM/NREM stages are also closer to ideal during the intervention periods, although there was no statistical significance. Statistical significance between sleep stages was found in the experiment 2, with higher N1, N3 and lower WK, REM ratio during intervention periods.

Conclusions : In this study, the relation between VL therapy and sleep quality was analyzed. Although potential improvement to sleep quality can be seen from both short-term and long-term experiment, there is also a concern of significantly lower REM percentage during long-term experiment.

Violet light modulates the central nervous system to regulate memory and mood

Motoshi Hayano; Pooja Gusain; Sarah Robertson; Yasue Mitsukura; Kazuo Tsubota

Investigative Ophthalmology & Visual Science (Investigative Ophthalmology & Visual Science) Vol. 64 ( Issue 8 ) 5475 2023.06

Purpose : The photostimulation of the external environment serves as a visual signal, as well as a non-visual signal through the protein opsin. In mammals, the non-visual photoreceptor opsin5 (also known as OPN5 or neuropsin) is expressed in the retinal ganglion cells RGCs) and hypothalamus. Violet light with a wavelength of 360-400 nm activates OPN5 and regulates the circadian cycle, thermogenesis, and myopia. However, the function of violet light and OPN5 in brain function is unknown.

Methods : We exposed aged mice to violet light and observed the effects on memory through contextual fear conditioning and the Barnes maze. In addition, we observed he effects on mood through a social defeat stress (SDS) model and a subsequent social interaction test. We analyzed neural activity and oligodendrogenesis in the SDS model through immunostaining for c-fos and MBP, and examined the projection pathway from OPN5-positive retinal ganglion cells to the brain using WGA and Opn5cre; Ai14 mice.

Results : Our results showed that violet light, as an external stimulus, regulates memory and mood function in the brain. Violet light improves memory function in aged mice and simultaneously increases the expression of oligodendrocyte-related genes such as MBP and MAG in the hippocampus. In addition, violet light improves depressive-like behaviors in the social defeat stress model in an OPN5-dependent manner and increases neural activity and oligodendrogenesis in the prefrontal cortex and nucleus accumbens. The neural network analysis using WGA and Opn5cre; Ai14 mice indicates that the signal received by OPN5-positive retinal ganglion cells is transmitted to the habenula brain region.

Conclusions : Our findings revealed a novel function for violet light in regulating cognitive function and mood behavior. The well-conserved OPN5 may be a non-visual photoreceptor for sensing the light environment and maintaining brain function throughout the lifespan. Although OPN5-RGCs project to the MHb, the central mechanism sensing VL needs to be further investigated. The role of violet light via OPN5 in underpinning myelination and oligodendrocyte function in influencing cognition and mood behavior opens an interesting new avenue for research and the development of novel therapeutic treatments for neurodegeneration and neuropsychiatry disorders.

Keratoconus detection using smartphone selfie

Hidenaga Kobashi, Kazuo Tsubota, Shunsuke Aoki, Brian Sumali, Yasue Mitsukura

Investigative Ophthalmology & Visual Science (Investigative Ophthalmology & Visual Science) Vol. 64 ( Issue 8 ) 2023.06

Purpose : Smartphone is easy tool for patients and ophthalmologists to communicate the data access. We propose “Hikaru ring”, a portable, low-cost, and easily measurable keratoconus detection device which is based on smartphone selfie camera images.

Methods : We designed the Hikaru ring as a gadget comprising of a 3D-printed placido’s rings of LED light combined with the smartphone. Two circle LEDs (12-cm and 6-cm) were attached with cone-shaped gadget and both corneas were irradiated at a distance of 15 cm and 19 cm, respectively. Selfie photographs were taken using the ring attached smartphone in normal and keratoconus subjects. Captured mire images of the reflection of the placido’s rings on the cornea were analyzed by an intelligent Windows software based on the corneal parameters. Anterior segment optical coherence tomography was also performed in each subject.

Results : In a clinical study, we successfully identified the diagnosis of keratoconus based on eccentricity and steepest keratometry in smartphone selfie style. We found significant correlation of corneal astigmatism and steepest keratometry between Hikaru ring and standard tomography (r = 0.533, p < 0.001 and r = 0.656, p < 0.001).

Conclusions : Preliminary experimental results show that the proposed method could detect keratoconus. Our novel placido’s rings attached with smartphone is useful for the screening under remote medicine.

Prefrontal power asymmetry feature extraction for depression severity in a clinical study

Gengtao Lin, Yasue Mitsukura

2023.03

Identification of sexually dimorphic effects of oxytocin administration on electroencephalography of B6J mice

Clarissa G. Gregory, Yasue Mitsukura

2023.03

Variability of autonomic nerve activity in dry eye with decreased tear stability

Minako Kaido, Reiko Arita, Yasue Mitsukura, Reiko Ishida, Kazuo Tsubota

PLOS ONE (PLOS ONE) Vol. 17 ( No. 11 ) e0276945 2022.11

The autonomic nervous system plays a crucial role in the maintenance of homeostasis. Neurogenic inflammation due to decreased stability of tear film may induce changes in autonomic nerve activity, which could be associated with symptom expression.This study aimed to measure biological parameters that represent autonomic nerve activity in dry eye (DE)s caused by tear film dysfunction and investigate their relationship with symptom intensity. This prospective, cross-sectional, comparative study evaluated 34 eyes of 34 participants (mean age: 52.5 ± 13.4 years; range: 20–81 years) without keratoconjunctival damage. Nineteen eyes in the DE group showed DE symptoms and tear break-up time (TBUT) of ≤5 seconds (short TBUT DE); the 15 eyes in the non-DE group showed no DE symptoms. Autonomic nerve activity was measured for 10 minutes—starting and ending 5 minutes before and after instilling ophthalmic solution—and evaluated using the low-frequency component (LF) to the high-frequency component (HF) ratio of heart rate variability (autonomic balance). The pre-ophthalmic solution administration LF/HF ratio was not significantly different (P = 0.59) between the two groups, however, the standard deviation of the LF/HF ratio (LF/HF-SD) tended to be higher in the DE group than that in the non-DE group (P = 0.086). The DE symptom intensity was significantly related to LF/HF-SD (P = 0.005), which significantly decreased after ophthalmic solution administration in the DE group (P = 0.04). The large fluctuations in autonomic balance may be key for the understanding of the mechanism underlying DE symptoms.

脳波計測から認知症リスクを発見する

満倉靖恵

三田評論 48 - 51 2022.11

Amyloid-β Clearance and its Evaluation by Auditory Stimulation in a Mouse Model of Alzheimer's Disease

Maika Ogawa, Yasue Mitsukura

2022.10

Simultaneous Multiple-Stimulus Auditory Brain-Computer Interface with Semi-Supervised Learning and Prior Probability Distribution Tuning

Mikito Ogino, Nozomu Hamada, and Yasue Mitsukura

Journal of Neural Engineering - IOPscience (Journal of Neural Engineering - IOPscience) Vol. 19 ( No. 6 ) pp. 066008 2022.10

Objective. Auditory brain–computer interfaces (BCIs) enable users to select commands based on the brain activity elicited by auditory stimuli. However, existing auditory BCI paradigms cannot increase the number of available commands without decreasing the selection speed, because each stimulus needs to be presented independently and sequentially under the standard oddball paradigm. To solve this problem, we propose a double-stimulus paradigm that simultaneously presents multiple auditory stimuli. Approach. For addition to an existing auditory BCI paradigm, the best discriminable sound was chosen following a subjective assessment. The new sound was located on the right-hand side and presented simultaneously with an existing sound from the left-hand side. A total of six sounds were used for implementing the auditory BCI with a 6 × 6 letter matrix. We employ semi-supervised learning (SSL) and prior probability distribution tuning to improve the accuracy of the paradigm. The SSL method involved updating of the classifier weights, and their prior probability distributions were adjusted using the following three types of distributions: uniform, empirical, and extended empirical (e-empirical). The performance was evaluated based on the BCI accuracy and information transfer rate (ITR). Main results. The double-stimulus paradigm resulted in a BCI accuracy of 67.89 ± 11.46% and an ITR of 2.67 ± 1.09 bits min−1, in the absence of SSL and with uniform distribution. The proposed combination of SSL with e-empirical distribution improved the BCI accuracy and ITR to 74.59 ± 12.12% and 3.37 ± 1.27 bits min−1, respectively. The event-related potential analysis revealed that contralateral and right-hemispheric dominances contributed to the BCI performance improvement. Significance. Our study demonstrated that a BCI based on multiple simultaneous auditory stimuli, incorporating SSL and e-empirical prior distribution, can increase the number of commands without sacrificing typing speed beyond the acceptable level of accuracy.

Variability of autonomic nerve activity in dry eye with decreased tear stability

Minako Kaido, Reiko Arita, Yasue Mitsukura, Reiko Ishida, Kazuo Tsubota

PLOS ONE (Public Library of Science) 2022.10

The autonomic nervous system plays a crucial role in the maintenance of homeostasis. Neurogenic inflammation due to decreased stability of tear film may induce changes in autonomic nerve activity, which could be associated with symptom expression. This study aimed to measure biological parameters that represent autonomic nerve activity in dry eye (DE)s caused by tear film dysfunction and investigate their relationship with symptom intensity. This prospective, cross-sectional, comparative study evaluated 34 eyes of 34 participants (mean age: 52.5 ± 13.4 years; range: 20–81 years) without keratoconjunctival damage. Nineteen eyes in the DE group showed DE symptoms and tear break-up time (TBUT) of ≤5 seconds (short TBUT DE); the 15 eyes in the non-DE group showed no DE symptoms. Autonomic nerve activity was measured for 10 minutes—starting and ending 5 minutes before and after instilling ophthalmic solution—and evaluated using the low-frequency component (LF) to the high-frequency component (HF) ratio of heart rate variability (autonomic balance). The pre-ophthalmic solution administration LF/HF ratio was not significantly different (P = 0.59) between the two groups, however, the standard deviation of the LF/HF ratio (LF/HF-SD) tended to be higher in the DE group than that in the non-DE group (P = 0.086). The DE symptom intensity was significantly related to LF/HF-SD (P = 0.005), which significantly decreased after ophthalmic solution administration in the DE group (P = 0.04). The large fluctuations in autonomic balance may be key for the understanding of the mechanism underlying DE symptoms.

Stress evaluation using EEG for novel air mobilities

Susumu Hara, Kotaro Takahara, Yasue Mitsukura

2022 IEEE 11th Global Conference on Consumer Electronics 72 - 73 2022.10

Recently, flying car (urban air mobility) technologies have been actively studied. However, the social acceptability of such vehicles is yet to be fully investigated. This study discusses the social acceptability of novel air mobilities. This may be evaluated in real time by electroencephalography (EEG) measurements using the Kansei analyzer. Some authors experimentally evaluated the applicability of the Kansei analyzer for various sounds such as stationary rotor sound and nonstationary metallic sound in the previous study. Different from those experiments, experiments were conducted here based on the industrial drone sound with four levels of volume. Subsequently, we investigated the difference between the stress levels using the Kansei analyzer. As indicated by the result, once a loud noise is heard, it is difficult to lower the stress even if the volume is subsequently lowered.

騒音に励起されるストレスの評価〜アンケート評価と脳波計測による評価の違いについて〜

原進, 満倉靖恵, 上出寛子

次世代移動体技術誌 3 ( 6 ) 81 - 90 2022.09

近年，空飛ぶクルマに関する技術が国内外で盛んに研究されている。しかし，空飛ぶクルマやドローンなどの社会受容性については，まだ十分に研究されていない。社会受容性に関する十分な検討を行っていないと，今後ドローンの産業利用や空飛ぶクルマの普及により到来する「空の産業革命」が健全に浸透せず，新たな社会問題が発生することも予想される。そこで，社会受容性評価の方法として二つのアプローチを組み合わせた方法を提案する。一つはアンケートによる社会心理学的評価である。もう一つは感性アナライザを用いた脳波計測によるリアルタイム評価である。著者らは前報において騒音に対するストレスの有無を判定するために感性アナライザが適用可能であることを，ロータが発生する定常音や金属がキンキンと発生する非定常音など，複数の種類の音源を用いた実験により明らかにした。本研究では，前報と異なり音源を頭上通過する産業用ドローンの飛行音に限定し，その音量を変えながら何度も聞くことにより発生する，アンケート評価と脳波計測によるストレス評価の違いについて明らかにして，将来の社会受容性調査方法の策定に有用な知見を与える。

住宅断熱性能の違いが生理学的反応及び在宅作業成績に及ぼす影響に関する被験者実験

河本紗弥，伊香賀俊治，満倉靖恵，吉田吏志，池田知之

日本建築学会環境系論文集 (日本建築学会) 87 ( 798 ) 492 - 502 2022.08

It is important to prevent hypertension, which is a risk factor for cardiovascular disease and severe COVID-19. In addition, as more people work from home, it is desirable to improve intellectual productivity at home. Therefore, in this study, we clarify the effects of the thermal insulation performance of houses on physiological responses and productivity in remote workers. We obtained the following findings. (1) When insulation performance was higher, systolic blood pressure was lower, and the skin temperature and the blood flow rate of the feet were higher; (2) As insulation performance increased, productivity increased.

Oscillatory population-level activity of dorsal raphe serotonergic neurons sculpts sleep structure

Tomonobu Kato, Yasue Mitsukura, Keitaro Yoshida, Masaru Mimura, Norio Takata, and Kenji F. Tanaka

Journal of Neuroscience (Journal of Neuroscience) pp. JN-RM-2288-21 2022.08

Dorsal raphe (DR) 5-HT neurons regulate sleep–wake transitions. Previous studies demonstrated that single-unit activity of DR 5-HT neurons is high during wakefulness, decreases during non-rapid eye movement (NREM) sleep, and ceases during rapid eye movement (REM) sleep. However, characteristics of the population-level activity of DR 5-HT neurons, which influence the entire brain, are largely unknown. Here, we measured population activities of 5-HT neurons in the male and female mouse DR across the sleep–wake cycle by ratiometric fiber photometry. We found a slow oscillatory activity of compound intracellular Ca2+ signals during NREM sleep. The trough of the concave 5-HT activity increased across sleep progression, but 5-HT activity always returned to that seen during the wake period. When the trough reached a minimum and remained there, REM sleep was initiated. We also found a unique coupling of the oscillatory 5-HT activity and wideband EEG power fluctuation. Furthermore, optogenetic activation of 5-HT neurons during NREM sleep triggered a high EMG power and induced wakefulness, demonstrating a causal role of 5-HT neuron activation. Optogenetic inhibition induced REM sleep or sustained NREM, with an EEG power increase and EEG fluctuation, and pharmacological silencing of 5-HT activity using a selective serotonin reuptake inhibitor led to sustained NREM, with an EEG power decrease and EEG fluctuation. These inhibitory manipulations supported the association between oscillatory 5-HT activity and EEG fluctuation. We propose that NREM sleep is not a monotonous state, but rather it contains dynamic changes that coincide with the oscillatory population-level activity of DR 5-HT neurons.

住宅断熱性能の違いが生理学的反応及び在宅作業成績に及ぼす影響に関する被験者実験

河本紗弥, 伊香賀俊治, 満倉靖恵, 吉田吏志, 池田知之

日本建築学会環境系論文集 87 ( 798 ) 492 - 502 2022.08

Investigation of stress reduction during remote work and impact on sleep status caused by drinking carbonated water

KOSUGI WATARU, MIZUNO SEIICHI, OTA EISAKU, MITSUKURA YASUE

電気学会電子・情報・システム部門大会(Web) 2022.08

Contactless Continuous Heart Rate Monitoring System using Ballistocardiography

Brian Sumali, Yasue Mitsukura*, Toshihiko Nishimura

PLOS ONE (PLOS ONE) Vol. 17 ( No. 7 ) pp. e0272072 2022.07

Cardiovascular disease is the number one cause of death in the world and is a serious problem. In the case of cardiopulmonary arrest due to myocardial infarction, the survival rate is as low as 13.3% one month after resuscitation, which birthed the need for continuous heart monitoring. In this study, we develop a Ballistocardiogram (BCG) measurement system using a load cell installed on a chair and a heart rate estimation algorithm that is robust to waveform changes, with the aim of constructing a non-contact heart rate acquisition system. The proposed system was evaluated by utilizing data obtained from 13 healthy subjects and 1 subject with abnormal ECG who were simultaneously measured with ECG. The output of the BCG system was confirmed to change with the same period as the ECG data obtained as the correct answer, and the synchronization of the R-peak positions was confirmed for all cases. As a result of comparing the heart rate intervals estimated from BCG and those obtained from ECG, it was confirmed that the same heart rate variability (HRV) features could be obtained even for abnormal ECG subject.

Psychological Impressions and Real-Time KANSEI Trajectory of Music Listeners Resulting from Differences in Piano Performance Methods

Yumi Shima, Tsutomu Sato, Yasue Mitsukura, Tetsuya Toma

Emotional Engineering Vol. 9 2022.07

This study aimed to analyze how differences in piano techniques affect the KANSEI of music listeners. A prior timbre analysis of piano techniques was conducted using frequency analysis to investigate the effects of differences in performance techniques on music listeners; however, it was not possible to clearly capture the nuanced differences in performance techniques. It was found that even though the differences in the expressions and textures of sound could not be analyzed by frequency analyses, they did provide different psychological impressions to music listeners. To evaluate the impressions formed based on performance methods, we conducted KANSEI measurements using a simple electroencephalograph and an impression evaluation experiment using the semantic differential (SD) method. Our findings suggest that music listeners’ KANSEI, resulting from differences in performance methods, is related to changes in the tune of music.

A Study on Legume-Based Noodles as Staple Food for Office Workers

Sumali B., Yoshimoto J., Kobayashi H., Yamada M., Maeda T., Mitsukura Y.

Frontiers in Nutrition (Frontiers in Nutrition) 9 807350 2022.06

ISSN 2296-861X

This study aims to verify the effects of “legume-based noodles” as a staple food for lunch, specifically: blood glucose, cognitive function tests, Kansei value, work questionnaires, typing, and body weight. The experiment is divided into two groups: the intervention group (legumes-based noodle) and the control group (regular lunch). Both groups have similar menu except the staple food. The intervention group resulted in a statistically significant lower blood glucose area under the curve (AUC) and lower maximum blood glucose levels during the afternoon work hours on weekdays. In addition, the Kansei value “concentration” decreased at the end of the workday in the control group compared to before and after lunch but did not decrease in the intervention group. Furthermore, the number of typing accuracy was higher in the intervention group than in the control group, and the questionnaire responses for “work efficiency” and “motivation” were more positive. These results suggest that eating legume-based noodles may lead to improved performance of office workers.

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非接触センシングによる睡眠の医療的 5 段階判定

満倉靖恵

O plus E (アドコム・メディア) ( 485 ) 2022.05

Characteristics of single-channel electroencephalogram in depression during conversation with noise reduction technology

Mitsukura Y., Tazawa Y., Nakamura R., Sumali B., Nakagawa T., Hori S., Mimura M., Kishimoto T.

PLoS ONE (PLoS ONE) 17 ( 4 April ) e0266518 2022.04

ISSN 1932-6203

Background Previous studies have attempted to characterize depression using electroencephalography (EEG), but results have been inconsistent. New noise reduction technology allows EEG acquisition during conversation. Methods We recorded EEG from 40 patients with depression as they engaged in conversation using a single-channel EEG device while conducting real-time noise reduction and compared them to those of 40 healthy subjects. Differences in EEG between patients and controls, as well as differences in patients’ depression severity, were examined using the ratio of the power spectrum at each frequency. In addition, the effects of medications were examined in a similar way. Results In comparing healthy controls and depression patients, significant power spectrum differences were observed at 3 Hz, 4 Hz, and 10 Hz and higher frequencies. In the patient group, differences in the power spectrum were observed between asymptomatic patients and healthy individuals, and between patients of each respective severity level and healthy individuals. In addition, significant differences were observed at multiple frequencies when comparing patients who did and did not take antidepressants, antipsychotics, and/or benzodiazepines. However, the power spectra still remained significantly different between non-medicated patients and healthy individuals. Limitations The small sample size may have caused Type II error. Patients’ demographic characteristics varied. Moreover, most patients were taking various medications, and cannot be compared to the non-medicated control group. Conclusion A study with a larger sample size should be conducted to gauge reproducibility, but the methods used in this study could be useful in clinical practice as a biomarker of depression.

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Frontotemporal EEG as potential biomarker for early MCI: a case–control study

Mitsukura Y., Sumali B., Watanabe H., Ikaga T., Nishimura T.

BMC Psychiatry (BMC Psychiatry) 22 ( 1 ) 289 2022.04

Background: Previous studies using EEG (electroencephalography) as biomarker for dementia have attempted to research, but results have been inconsistent. Most of the studies have extremely small number of samples (average N = 15) and studies with large number of data do not have control group. We identified EEG features that may be biomarkers for dementia with 120 subjects (dementia 10, MCI 33, against control 77). Methods: We recorded EEG from 120 patients with dementia as they stayed in relaxed state using a single-channel EEG device while conducting real-time noise reduction and compared them to healthy subjects. Differences in EEG between patients and controls, as well as differences in patients’ severity, were examined using the ratio of power spectrum at each frequency. Results: In comparing healthy controls and dementia patients, significant power spectrum differences were observed at 3 Hz, 4 Hz, and 10 Hz and higher frequencies. In patient group, differences in the power spectrum were observed between asymptomatic patients and healthy individuals, and between patients of each respective severity level and healthy individuals. Conclusions: A study with a larger sample size should be conducted to gauge reproducibility, but the results implied the effectiveness of EEG in clinical practice as a biomarker of MCI (mild cognitive impairment) and/or dementia.

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新型コロナウイルス感染症(COVID-19)の重症化を早期に予測する重症化予測システムの確立

石井誠, 福永興壱, 満倉靖恵

大和証券ヘルス財団研究業績集 ((公財)大和証券ヘルス財団) ( 45 ) 185 - 188 2022.03

Feature Extraction of Brain Activity in Prefrontal Region of Depressed Patients Using Bipolar Electroencephalography

Keita Kawashima, Yasue Mitsukura

2022.03

Analysis of Pain Onset using Sustained Body Temperature

Kyoko Oka, Yasue Mitsukura

2022.03

Analysis of Steroid-Induced Sleep Structure Changes in Mice

Gento Okawa, Yasue Mitsukura

2022.03

新型コロナウイルス感染症 (COVID-19) の重症化を早期に予測する重症化予測システムの確立

石井誠, 福永興壱, 満倉靖恵

大和証券ヘルス財団研究業績集 45 185 - 188 2022.03

Online improvisation training, hybrid improvisation training and on-site improvisation training; are they the same?

Tsubota M., Sumali B., Kai M., Mitsukura Y.

Science Progress (Science Progress) 105 ( 1 ) 368504221080673 2022.02

ISSN 00368504

Background: Since the outbreak of COVID-19 in Wuhan in December 2019, lifestyle has been changing to an online-based learning and working environment rather than on-site, and improvisation training is no exception. However, no research compares the efficacy of online versus on-site training. Although we believed that the most effective way to learn improvisation is an on-site format, it is important to explore how format differences can affect learners. Method: We offer three types of training such as on-site training (n = 6) (Consisting of 1 female with age ≥40 and <50, and 5 males with ages ≥20 and <50), hybrid training (Instructor participates from online and learners participate on-site) (n = 120) (Consisting of 55 female with age ≥15 and <20, and 65 males with ages ≥15 and <50), and online training (n = 20) (Consisting of 4 female with age ≥20 and <30, and 16 males with ages ≥20 and <50) We collected pretest, test, and posttest data by using the Kansei Analyzer, a simplified electroencephalograph (EEG) and Profile of Mood States (POMS) questionnaire. Results: All formats of training displayed an increase in vigor and a decrease in depression, confusion, tension, anger, and fatigue. The online training displayed better results than the on-site training. Regardless of the format, all training displayed an increase in stress during the activities and a decrease in stress after the activity without changes in other indexes. Additionally, on-site training displayed an increase in sleepiness and stress during the activities. Some participants were tested twice but no significant differences were found between the initial results and the secondary results. Conclusion: In this study, we found evidence that online improvisation can lead to the prevention of depressive symptoms and can function as a method for the reduction of stress in conjunction with the increase of individual vigor. However, a future study is required due to the low number of participants and the absence of POMS data for the on-site training. Any future studies should account for these factors while examining other data such as blood pressure, blood sugar, and pulse.

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Prefrontal power asymmetry feature extraction for depression severity in a clinical study

Gengtao Lin, Yasue Mitsukura

2022.02

Identification of sexually dimorphic effects of oxytocin administration on electroencephalography of B6J mice

Clarissa G. Gregory, Yasue Mitsukura

2022.02

Automatic Deceleration Detection System from Fetal Heart Rate obtained by CTG

Yamamoto Hiroko, Mitsukura Yasue

2022 IEEE 17TH INTERNATIONAL CONFERENCE ON ADVANCED MOTION CONTROL (AMC) 346 - 351 2022

ISSN 1943-6572

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Analysis of the Relationship Between Calcium Ion Concentration Ratio and Behavior in Neural Activity of the Brain

Sunami Ryota, Mitsukura Yasue

2022 IEEE 17TH INTERNATIONAL CONFERENCE ON ADVANCED MOTION CONTROL (AMC) 341 - 345 2022

ISSN 1943-6572

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Noise-Induced Stress Assessment ─On the Difference between Questionnaire-Based and EEG Measurement-Based Evaluations─

Susumu Hara, Yasue Mitsukura, Hiroko Kamide

Technical Journal of Advanced Mobility ( Japan UAS Industrial Development Association) Vol. 3 ( Issue 6 ) 81 - 90 2022

In recent years, flying car (urban air mobility, UAM) technologies have been actively studied in Japan and other countries. However, the social acceptability of flying vehicles such as UAM and drones (unmanned aircraft systems, UAS) has not been extensively investigated. Social issues often arise when social acceptance is neglected. Thus, novel issues are expected to arise on the advent of the so-called Aerial Industrial Revolution because of the industrial use of drones and commercialization of flying cars. To overcome these issues, herein, the social acceptability of this revolution was evaluated by two different approaches: sociopsychological evaluation using a questionnaire and real-time evaluation by electroencephalograph (EEG) measurement using a Kansei analyzer. The authors experimentally evaluated the applicability of the Kansei analyzer for various sounds including stationary rotor sound and nonstationary metallic sound in the previous study. Different from such an experiment, this study conducted experiments based on the industrial drone sound with four levels of volume. Subsequently, the difference between the stress levels was investigated using the questionnaire and the Kansei analyzer. The result may impact the formulation of the social acceptability survey methods in future.

Objective characterization of hip pain levels during walking by combining quantitative electroencephalography with machine learning

Kimura A., Mitsukura Y., Oya A., Matsumoto M., Nakamura M., Kanaji A., Miyamoto T.

Scientific Reports (Scientific Reports) 11 ( 1 ) 3192 2021.12

Accepted, ISSN 2045-2322

Pain is an undesirable sensory experience that can induce depression and limit individuals’ activities of daily living, in turn negatively impacting the labor force. Affected people frequently feel pain during activity; however, pain is subjective and difficult to judge objectively, particularly during activity. Here, we developed a system to objectively judge pain levels in walking subjects by recording their quantitative electroencephalography (qEEG) and analyzing data by machine learning. To do so, we enrolled 23 patients who had undergone total hip replacement for pain, and recorded their qEEG during a five-minute walk via a wearable device with a single electrode placed over the Fp1 region, based on the 10–20 Electrode Placement System, before and three months after surgery. We also assessed subject hip pain using a numerical rating scale. Brain wave amplitude differed significantly among subjects with different levels of hip pain at frequencies ranging from 1 to 35 Hz. qEEG data were also analyzed by a support vector machine using the Radial Basis Functional Kernel, a function used in machine learning. That approach showed that an individual’s hip pain during walking can be recognized and subdivided into pain quartiles with 79.6% recognition Accuracy. Overall, we have devised an objective and non-invasive tool to monitor an individual’s pain during walking.

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Deep neural network-based classification of cardiotocograms outperformed conventional algorithms

Ogasawara J., Ikenoue S., Yamamoto H., Sato M., Kasuga Y., Mitsukura Y., Ikegaya Y., Yasui M., Tanaka M., Ochiai D.

Scientific Reports (Scientific Reports) 11 ( 1 ) 13367 2021.12

Accepted, ISSN 2045-2322

Cardiotocography records fetal heart rates and their temporal relationship to uterine contractions. To identify high risk fetuses, obstetricians inspect cardiotocograms (CTGs) by eye. Therefore, CTG traces are often interpreted differently among obstetricians, resulting in inappropriate interventions. However, few studies have focused on quantitative and nonbiased algorithms for CTG evaluation. In this study, we propose a newly constructed deep neural network model (CTG-net) to detect compromised fetal status. CTG-net consists of three convolutional layers that extract temporal patterns and interrelationships between fetal heart rate and uterine contraction signals. We aimed to classify the abnormal group (umbilical artery pH < 7.20 or Apgar score at 1 min < 7) and the normal group from CTG data. We evaluated the performance of the CTG-net with the F1 score and compared it with conventional algorithms, namely, support vector machine and k-means clustering, and another deep neural network model, long short-term memory. CTG-net showed the area under the receiver operating characteristic curve of 0.73 ± 0.04, which was significantly higher than that of long short-term memory. CTG-net, a quantitative and automated diagnostic aid system, enables early intervention for putatively abnormal fetuses, resulting in a reduction in the number of cases of hypoxic injury.

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Finding of the factors affecting the severity of COVID-19 based on mathematical models

Qu J., Sumali B., Lee H., Terai H., Ishii M., Fukunaga K., Mitsukura Y., Nishimura T.

Scientific Reports (Scientific Reports) 11 ( 1 ) 24224 2021.12

ISSN 2045-2322

Since 2019, a large number of people worldwide have been infected with severe acute respiratory syndrome coronavirus 2. Among those infected, a limited number develop severe coronavirus disease 2019 (COVID-19), which generally has an acute onset. The treatment of patients with severe COVID-19 is challenging. To optimize disease prognosis and effectively utilize medical resources, proactive measures must be adopted for patients at risk of developing severe COVID-19. We analyzed the data of COVID-19 patients from seven medical institutions in Tokyo and used mathematical modeling of patient blood test results to quantify and compare the predictive ability of multiple prognostic indicators for the development of severe COVID-19. A machine learning logistic regression model was used to analyze the blood test results of 300 patients. Due to the limited data set, the size of the training group was constantly adjusted to ensure that the results of machine learning were effective (e.g., recognition rate of disease severity > 80%). Lymphocyte count, hemoglobin, and ferritin levels were the best prognostic indicators of severe COVID-19. The mathematical model developed in this study enables prediction and classification of COVID-19 severity.

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Relationship between Hormone Level Fluctuation and EEG

Kosugi Wataru, Brian Sumali, Mimura Masaru, Mitsukura Yasue

IEEJ Transactions on Electronics, Information and Systems (The Institute of Electrical Engineers of Japan) 141 ( 9 ) 992 - 998 2021.09

Accepted, ISSN 03854221

In this research, we aim to extract features of menstrual cycle and mood using features of electroencephalogram (EEG). The menstrual cycle is classified into four categories: luteal phase, menstrual phase, follicular phase, and ovulation phase. We extract characteristic EEG of these periods. In addition, this study examines the extent of the difference in emotional state at the four stages of the menstrual cycle and quantitatively shows the period during which mental disorders are likely to occur.

住宅の断熱性能による温熱環境の違いが生理学的反応・在宅作業成績に及ぼす影響に関する被験者実験

河本紗弥, 伊香賀俊治, 満倉靖恵, 古溝洋明, 吉田吏志, 池田知之, 明内勝裕

空気調和・衛生工学会大会　学術講演論文集 6 2021.09

循環器疾患やCOVID-19重症化に繋がるとされる高血圧の予防が急務となっている。寒冷環境に曝されると血圧が上昇し、末梢の血行も悪化する。また、COVID-19感染拡大防止のため在宅勤務を行う人が増加しており、住宅における知的生産性の向上が求められている。そこで、本研究では断熱性能の異なるモデルルームで被験者実験を行い、住宅の断熱性能による温熱環境の違いが生理学的反応・在宅勤務を模擬した作業成績に及ぼす影響の検討を行う。

THE EFFECT OF INTERVENTION OF MEDICAL STAFF ON THE ADHERENCE OF CPAP AND HEART RATE IN PATIENTS WITH OBSTRUCTIVE SLEEP APNEA

Shirahama Ryutaro, Ishimaru Rie, Takagiwa Jun, Mitsukura Yasue

SLEEP 44 A182 - A183 2021.05

ISSN 0161-8105

Evaluation of olive oil effects on human stress response by measuring cerebral blood flow

Mitsukura Y., Sumali B., Nara R., Watanabe K., Inoue M., Ishida K., Nishiwaki M., Mimura M.

Food Science and Nutrition (Food Science and Nutrition) 9 ( 4 ) 1851 - 1859 2021.04

Accepted, ISSN 2048-7177

In this paper, we evaluated the effects of olive oil on human's stress level. In recent years, mental stress from harsh working environment have been causing serious problems to human health, both mentally and physically. Symptoms of stress may include feelings of worthlessness, agitation, anxiety, lethargy, insomnia, and behavioral changes. Additionally, the harsh working environments may cause the workers to adopt unhealthy dietary habits, contributing to the health issue. On the other hand, olive oil has been known to provide stress-relieving effects both by ingestion and by inhaling the scent. Here, we examined the effects of extravirgin olive oil ingestion for mitigating stress from deskwork. Three best-selling extravirgin olive oil in Japan were tested, and typing task was selected to emulate deskwork situation. Near-infrared spectroscopy (NIRS) is utilized in this study to visualize the response in brain via cerebral blood flow analysis and to measure participants’ stress level. Statistical analysis showed that the stress levels were lower during the olive oil ingestion experiment compared to no-oil experiment, even when measured one hour after the ingestion.

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Establishing Robust Feature Point Detection and Tracking Methods for Face Orientation

Sumali Brian, Hamada Nozomu, Mitsukura Yasue

IEEJ Transactions on Electronics, Information and Systems (The Institute of Electrical Engineers of Japan) 141 ( 3 ) 367 - 372 2021.03

Accepted, ISSN 03854221

Recently, there has been an increasing need of a face alignment or facial feature point tracking for applying face recognition, facial expression estimation, face attributes prediction, and clinical face observation etc. This study proposes a robust facial feature tracking method against camera shake and face orientation changes. The method applies a cascaded composed learning (CCL) based facial feature point tracking method by incorporating optical flow for improving tracking accuracy and robustness. Experiments are conducted to show that efficient tracking is achieved by performing CCL combined with initial shape estimation via the optical flow.

住宅の断熱性能が血圧・血流・皮膚温に及ぼす影響に関する被験者実験

河本紗弥，伊香賀俊治，満倉靖恵，古溝洋明，吉田吏志，池田知之，明内勝裕

日本建築学会関東支部研究報告集 (日本建築学会) ( 91 ) 79 - 82 2021.03

Robust Heartbeat Interval Estimation Method against Various Postures on Bed Using Contactless Measurement

Sato T., Nakaigawa T., Hamada N., Mitsukura Y.

2021 IEEE/SICE International Symposium on System Integration, SII 2021 (2021 IEEE/SICE International Symposium on System Integration, SII 2021) 524 - 530 2021.01

Accepted, ISSN 9781728176581

The purpose of this thesis is to use contactless measurement, to propose a robust system for heartbeats interval estimation that enables easy and stable health monitoring in the daily life. In recent years, cardiovascular disease is a major cause of death. Ballisto cardiogram (BCG), which records the mechanical activity of the heart, has been studied as a method provided an unobtrusive measurement. This technique provides the possibility of observing health status without causing any discomfort however, the signal quality can highly vary due to artifacts associated with breathing or postures of a user. Therefore, this study assesses the robust algorithm to estimate heartbeats interval from BCG signal measured by high-sensitive load sensors that mounted to bed legs. Three healthy subjects participated in the experiments that they lied on the bed with various postures. As a result, mean beat-to-beat interval errors were less than about 50 ms when subjects held in decubitus.

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Semi-Supervised Learning for Auditory Event-Related Potential-Based Brain-Computer Interface

Ogino M., Kanoga S., Ito S.I., Mitsukura Y.

IEEE Access (IEEE Access) 9 47008 - 47023 2021

Accepted, ISSN 2169-3536

A brain-computer interface (BCI) is a communication tool that analyzes neural activity and relays the translated commands to carry out actions. In recent years, semi-supervised learning (SSL) has attracted attention for visual event-related potential (ERP)-based BCIs and motor-imagery BCIs as an effective technique that can adapt to the variations in patterns among subjects and trials. The applications of the SSL techniques are expected to improve the performance of auditory ERP-based BCIs as well. However, there is no conclusive evidence supporting the positive effect of SSL techniques on auditory ERP-based BCIs. If the positive effect could be verified, it will be helpful for the BCI community. In this study, we assessed the effects of SSL techniques on two public auditory BCI datasets - AMUSE and PASS2D - using the following machine learning algorithms: step-wise linear discriminant analysis, shrinkage linear discriminant analysis, spatial temporal discriminant analysis, and least-squares support vector machine. These backbone classifiers were firstly trained by labeled data and incrementally updated by unlabeled data in every trial of testing data based on SSL approach. Although a few data of the datasets were negatively affected, most data were apparently improved by SSL in all cases. The overall accuracy was logarithmically increased with every additional unlabeled data. This study supports the positive effect of SSL techniques and encourages future researchers to apply them to auditory ERP-based BCIs.

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Applicability of Kansei Analyzer for Noise-Induced Stress Assessment ─Toward Social Acceptability Survey of Flying Cars─

Hara Susumu, Hayashi Yusuke, Mitsukura Yasue, Kamide Hiroko

Technical Journal of Advanced Mobility (Japan UAS Industrial Development Association) 2 ( 3 ) 31 - 41 2021

Research paper (other academic), Joint Work, Accepted

In recent years, flying car (Urban Air Mobility, UAM) technologies have been actively studied in Japan and other countries. However, the social acceptability of flying vehicles such as UAM and drones (Unmanned Aircraft Systems, UAS) has not been extensively investigated. Social issues often arise when social acceptance is neglected. Thus, novel issues are expected to arise upon the advent of the so-called Aerial Industrial Revolution because of the industrial use of drones and the commercialization of flying cars. To overcome these issues, herein, the social acceptability of this revolution may be evaluated by two different approaches: real-time evaluation by electroencephalograph (EEG) measurement using a Kansei analyzer and social-psychological evaluation by using a questionnaire. However, at this stage, the applicability of the Kansei analyzer for the evaluation has not yet been fully addressed. Thus, in this study, an experiment was conducted to verify the applicability of the Kansei analyzer. In this experiment, subjects answered a questionnaire after hearing some noises. The effects of four types of sounds and three levels of volume on the noise-induced stress levels were investigated. This study described the results and consideration about the experiment to evaluate noise-induced stress among participants and confirmed that the Kansei analyzer is applicable for such stress detection. Moreover, the differences of results in both approaches were revealed.

Predicting COVID-19 Severe Patients and Evaluation Method of 3 Stages Severe Level by Machine Learning

Qu J., Sumali B., Mitsukura Y.

2021 IEEE 4th International Conference on Electronics and Communication Engineering, ICECE 2021 (2021 IEEE 4th International Conference on Electronics and Communication Engineering, ICECE 2021) 277 - 281 2021

Since the outbreak COVID-19 in Wuhan, China in December 2019, a large number of patients have been seen worldwide, and the number of infections continues to show an increasing trend. The vast majority of COVID-19 patients will have fever, headache, and mild respiratory symptoms, but a small number of severely ill patients will experience respiratory distress and related complications, which seriously endanger their lives. The large number of patients also puts the healthcare system to the test. To maximize the protection of patients' lives and the effective use of medical resources, this study collected blood data from 313 patients by machine learning, used 7 blood test items as the feature quantity, established an effective linear SVM prediction model for severe/non-severe disease (recall: 93.55%, specificity: 93.22%), and for 3 stages evaluation of the degree of severe level in severe patients was developed for patients with critical illness. The abnormal increase in Ferritin values was also found to be closely related to the development of severity.

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騒音に対するストレス評価のための感性アナライザ適用可能性の検討

原進, 林裕介, 満倉靖恵, 上出寛子

ロボティクス・メカトロニクス講演会講演概要集 2021

In recent years, flying cars have been actively researched both in Japan and abroad. However, little research has been carried out on the social acceptance of flying vehicles. Social problems often arise when neglecting the social acceptance. It is expected that problems will arise in the future when “Aerial Industrial Revolution” occurs due to industrial use of drones and commercialization of flying cars. In this study, the social acceptance is evaluated by two approaches. One is real-time evaluation by Kansei-analyzer and the other is social psychological evaluation by questionnaire. But the applicability of Kansei-analyzer to the evaluation has not been fully addressed yet. Then this study conducts two kinds of experiments to clarify the applicability of Kansei-analyzer. This paper describes the results and consideration about the experiments to evaluate stress on noise.

Applicability of Kansei analyzer for noise-induced stress assessment─ toward social acceptability survey of flying cars─

Susumu Hara, Yusuke Hayashi, Yasue Mitsukura, Hiroko Kamide

Technical Journal of Advanced Mobility (Japan UAS Industrial Development Association) Vol. 2 ( Issue 3 ) 31 - 41 2021

【感覚の可視化】「脳」を見える化する　感情の可視化と脳を用いた研究　脳機能および心電計測を用いた定量評価によるストレスに対する脂質摂取の影響評価

満倉靖恵

オレオサイエンス ((公社)日本油化学会) 20 ( 11 ) 499 - 505 2020.11

Accepted, ISSN 1345-8949

A mobile auditory brain-computer interface system with sequential auditory feedback

Ogino M., Mitsukura Y.

2020 IEEE 9th Global Conference on Consumer Electronics, GCCE 2020 (2020 IEEE 9th Global Conference on Consumer Electronics, GCCE 2020) 590 - 593 2020.10

Accepted, ISSN 9781728198026

Auditory brain-computer interface (BCI) is a necessary communication tool for disabled people who can hardly communicate. However, general EEG systems are difficult to be handled. Moreover, the accuracy of the auditory BCI is less than a visual BCI because auditory stimuli cannot be presented rapidly, so the users can hardly feel to control the BCI. In this paper, we propose a comfortable BCI using a headband type device and an auditory feedback. The mobile system is more comfortable, and the auditory feedback improved the accuracy. Moreover, it enables users understand how to control the auditory BCI more easily.

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Sleep stage estimation from bed leg ballistocardiogram sensors

Mitsukura Y., Sumali B., Nagura M., Fukunaga K., Yasui M.

Sensors (Switzerland) (Sensors (Switzerland)) 20 ( 19 ) 1 - 21 2020.10

Accepted, ISSN 14248220

© 2020 by the authors. Licensee MDPI, Basel, Switzerland. Ballistocardiogram (BCG) is a graphical representation of the subtle oscillations in body movements caused by cardiovascular activity. Although BCGs cause less burden to the user, electrocardiograms (ECGs) are still commonly used in the clinical scene due to BCG sensors’ noise sensitivity. In this paper, a robust method for sleep time BCG measurement and a mathematical model for predicting sleep stages using BCG are described. The novel BCG measurement algorithm can be described in three steps: preprocessing, creation of heartbeat signal template, and template matching for heart rate variability detection. The effectiveness of this algorithm was validated with 99 datasets from 36 subjects, with photoplethysmography (PPG) to compute ground truth heart rate variability (HRV). On average, 86.9% of the inter-beat intervals were detected and the mean error was 8.5ms. This shows that our method successfully extracted beat-to-beat intervals from BCG during sleep, making its usability comparable to those of clinical ECGs. Consequently, compared to other conventional BCG systems, even more accurate sleep heart rate monitoring with a smaller burden to the patient is available. Moreover, the accuracy of the sleep stages mathematical model, validated with 100 datasets from 25 subjects, is 80%, which is higher than conventional five-stage sleep classification algorithms (max: 69%). Although, in this paper, we applied the mathematical model to heart rate interval features from BCG, theoretically, this sleep stage prediction algorithm can also be applied to ECG-extracted heart rate intervals.

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The project for objective measures using computational psychiatry technology (PROMPT): Rationale, design, and methodology

Kishimoto T., Takamiya A., Liang K.c., Funaki K., Fujita T., Kitazawa M., Yoshimura M., Tazawa Y., Horigome T., Eguchi Y., Kikuchi T., Tomita M., Bun S., Murakami J., Sumali B., Warnita T., Kishi A., Yotsui M., Toyoshiba H., Mitsukura Y., Shinoda K., Sakakibara Y., Mimura M.

Contemporary Clinical Trials Communications (Contemporary Clinical Trials Communications) 19 100649 2020.09

Accepted, ISSN 24518654

© 2020 The Authors Introduction: Depressive and neurocognitive disorders are debilitating conditions that account for the leading causes of years lived with disability worldwide. However, there are no biomarkers that are objective or easy-to-obtain in daily clinical practice, which leads to difficulties in assessing treatment response and developing new drugs. New technology allows quantification of features that clinicians perceive as reflective of disorder severity, such as facial expressions, phonic/speech information, body motion, daily activity, and sleep. Methods: Major depressive disorder, bipolar disorder, and major and minor neurocognitive disorders as well as healthy controls are recruited for the study. A psychiatrist/psychologist conducts conversational 10-min interviews with participants ≤10 times within up to five years of follow-up. Interviews are recorded using RGB and infrared cameras, and an array microphone. As an option, participants are asked to wear wrist-band type devices during the observational period. Various software is used to process the raw video, voice, infrared, and wearable device data. A machine learning approach is used to predict the presence of symptoms, severity, and the improvement/deterioration of symptoms. Discussion: The overall goal of this proposed study, the Project for Objective Measures Using Computational Psychiatry Technology (PROMPT), is to develop objective, noninvasive, and easy-to-use biomarkers for assessing the severity of depressive and neurocognitive disorders in the hopes of guiding decision-making in clinical settings as well as reducing the risk of clinical trial failure. Challenges may include the large variability of samples, which makes it difficult to extract the features that commonly reflect disorder severity. Trial Registration: UMIN000021396, University Hospital Medical Information Network (UMIN).

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住環境が脳機能に及ぼす影響に関する実測調査その11: 住宅内温熱環境が脳機能・呼吸機能に与える影響に関する縦断調査

渡邉秀斗，満倉靖恵，伊香賀俊治，山川義徳，内田泰史，安藤真太朗，福永興壱

環境工学 I 2020 149 - 150 2020.09

環境条件が心的要因と作業効率に及ぼす影響の評価その 3 冬季換気条件における実験結果

折戸真理，満倉靖恵，古橋拓也，伏江遼

2020 61 - 62 2020.09

環境条件が心的要因と作業効率に及ぼす影響の評価その 1 夏季冷房条件における実験結果

古橋拓也，満倉靖恵，折戸真理，伏江遼

環境工学 I 57 - 58 2020.09

Effect of Environmental Conditions for Mental Factor and Work Efficiency, Part 2. Thermal Environment Evaluation using Electroencephalogram and Air Flow Analysis

満倉靖恵，古橋拓也，折戸真理，伏江遼

環境工学 I 2020 59 - 60 2020.07

Speech quality feature analysis for classification of depression and dementia patients

Sumali B., Mitsukura Y., Liang K.C., Yoshimura M., Kitazawa M., Takamiya A., Fujita T., Mimura M., Kishimoto T.

Sensors (Switzerland) (Sensors (Switzerland)) 20 ( 12 ) 1 - 17 2020.06

Accepted, ISSN 14248220

© MDPI AG. All rights reserved. Loss of cognitive ability is commonly associated with dementia, a broad category of progressive brain diseases. However, major depressive disorder may also cause temporary deterioration of one’s cognition known as pseudodementia. Differentiating a true dementia and pseudodementia is still difficult even for an experienced clinician and extensive and careful examinations must be performed. Although mental disorders such as depression and dementia have been studied, there is still no solution for shorter and undemanding pseudodementia screening. This study inspects the distribution and statistical characteristics from both dementia patient and depression patient, and compared them. It is found that some acoustic features were shared in both dementia and depression, albeit their correlation was reversed. Statistical significance was also found when comparing the features. Additionally, the possibility of utilizing machine learning for automatic pseudodementia screening was explored. The machine learning part includes feature selection using LASSO algorithm and support vector machine (SVM) with linear kernel as the predictive model with age-matched symptomatic depression patient and dementia patient as the database. High accuracy, sensitivity, and specificity was obtained in both training session and testing session. The resulting model was also tested against other datasets that were not included and still performs considerably well. These results imply that dementia and depression might be both detected and differentiated based on acoustic features alone. Automated screening is also possible based on the high accuracy of machine learning results.

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Loss of concentration may occur by blink inhibition in DED simulation models

Mitsukura Y., Negishi K., Ayaki M., Santo M., Kawashima M., Tsubota K.

Life (Life) 10 ( 5 ) 2020.05

Accepted

© 2020 by the authors. Licensee MDPI, Basel, Switzerland. Purpose: Patients with dry eye disease (DED) often suffer productivity loss and distress due to bothersome symptoms. The aim of this study was to objectively quantify and compare productivity-related emotional states obtained from brain waveforms in natural and simulated DED conditions. Method: 25 healthy adults (6 females and 19 males; mean age ± standard deviation, 22.6 ± 8.3 years) were recruited for the study, which included an electroencephalogram (EEG), measurements of interblinking time, and questionnaires. DED was simulated by suppressing blinking, while spontaneous blinking served as a control. Elements of concentration, stress, and alertness were extracted from the raw EEG waveforms and the values were compared during spontaneous and suppressed blinking. The relation with DED-related parameters was then explored. Written informed consent was obtained from all participants. Results: All participants successfully completed the experimental protocol. Concentration significantly decreased during suppressed blinking in 20 participants (80%), when compared with spontaneous blinking, whereas there were no or small differences in stress or alertness between spontaneous and suppressed blinking. The change in concentration was correlated with interblinking time (β = −0.515, p = 0.011). Conclusion: Loss of concentration was successfully captured in an objective manner using the EEG. The present study may enable us to understand how concentration is affected during blink suppression, which may happen in office work, particularly during computer tasks. Further study using detailed ocular evaluation is warranted to explore the effect of different interventions.

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教養講座脳波に見る女性の生理周期とバイオリズム

満倉靖恵

翼: 航空自衛隊連合幹部会機関誌 44 ( 東風 ) 103 - 105 2020.03

Evaluating depression with multimodal wristband-type wearable device: screening and assessing patient severity utilizing machine-learning

Tazawa Y., Liang K.c., Yoshimura M., Kitazawa M., Kaise Y., Takamiya A., Kishi A., Horigome T., Mitsukura Y., Mimura M., Kishimoto T.

Heliyon (Heliyon) 6 ( 2 ) e03274 2020.02

Accepted, ISSN 24058440

© 2020 Objective: We aimed to develop a machine learning algorithm to screen for depression and assess severity based on data from wearable devices. Methods: We used a wearable device that calculates steps, energy expenditure, body movement, sleep time, heart rate, skin temperature, and ultraviolet light exposure. Depressed patients and healthy volunteers wore the device continuously for the study period. The modalities were compared hourly between patients and healthy volunteers. XGBoost was used to build machine learning models and 10-fold cross-validation was applied for the validation. Results: Forty-five depressed patients and 41 healthy controls participated, creating a combined 5,250 days' worth of data. Heart rate, steps, and sleep were significantly different between patients and healthy volunteers in some comparisons. Similar differences were also observed longitudinally when patients' symptoms improved. Based on seven days' data, the model identified symptomatic patients with 0.76 accuracy and predicted Hamilton Depression Rating Scale-17 scores with a 0.61 correlation coefficient. Skin temperature, sleep time-related features, and the correlation of those modalities were the most significant features in machine learning. Limitations: The small number of subjects who participated in this study may have weakened the statistical significance of the study. There are differences in the demographic data among groups although we performed a correction for multiple comparisons. Validation in independent datasets was not performed, although 10-fold cross validation with the internal data was conducted. Conclusion: The results indicated that utilizing wearable devices and machine learning may be useful in identifying depression as well as assessing severity.

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Brain Visualization: Evaluate the Effect of Lipid Intake on Stress by Quantitative Evaluation Using Brain Function and Electrocardiographic Measurement

MITSUKURA Yasue

Oleoscience (Japan Oil Chemists' Society) 20 ( 11 ) 499 - 505 2020

Accepted, ISSN 1345-8949

KANSEI Detection and Its Application Using the EEG: Widespread of KANSEI Research in Society

MITSUKURA Yasue

IEICE ESS Fundamentals Review (The Institute of Electronics, Information and Communication Engineers) 13 ( 3 ) 180 - 186 2020

Accepted

In recent years, attempts have been made to quantify human emotions and sensibilities. We have proposed a technique for acquiring emotions and sensibilities from EEG in real time, and have made various applications. In particular, a wide variety of measurement methods and evaluation methods that is important in handling the brain or its activity. We are studying emotional analysis using mice from studies such as differences due to gender and national differences. In particular, emotions and sensibilities are one of the higher-order functions of human beings, and sensibility is a research area that should continue to be important in the future because research has begun in Japan. This paper describes the background and method of doing this, and mentions future prospects.

炭酸水の飲用による作業時の感性変動の検証

太田英作, 満倉靖恵, 小杉亘, 水野征一

Annual convention of the Japanese Association of Health Psychology : proceedings (The Japanese Association of Health Psychology) 33 ( 0 ) P10 2020

Accepted

Advanced Sensors for Mechatronics

Naoki Oda, Toshiaki Tsuji, Yasue Mitsukura, Takahiro Ishikawa, Yuta Tawaki, Toshiyuki Murakami, Satoshi Suzuki, Yasutaka Fujimoto

Mechatronics and Robotics (CRC Press) 1st Edition 33 - 50 2020

Sensors and actuators are key technologies to develop industrial products and to achieve social innovation. In particular, intelligent sensor applications are important to improve system reliability and safety. To achieve the sophisticated and advanced system, because the compromise among the information processing and the regulating system of each node through the network of sensors and actuators becomes so important, it is necessary to develop a new and emerging research area of sensors and actuators technology. The key issues are summarized as: advanced vision-based control application, advanced tactile sensing, advanced electroencephalography, advanced human motion sensing, and advanced approaches for human motion detection. The chapter describes the techniques for tactile sensors. It describes the classification of tactile sensing techniques followed by descriptions of techniques in each classification. The chapter illustrates human preference detection by simple electroencephalography.

Special issue on brain machine/computer interface and its application

Shoichiro Fujisawa, Minoru Fukumi, Jianting Cao, Yasue Mitsukura, and Shin-ichi Ito

Journal of Robotics and Mechatronics ( Fuji Technology Press Ltd. ) Vol. 32 ( Issue 4 ) 723 2020

Brain machine/computer interface (BMI/BCI) technologies are based on analyzing brain activity to control machines and support the communication of commands and messages. To sense brain activities, a functional NIRS and electroencephalogram (EEG) that has been developed for that purpose is often employed. Analysis techniques and algorithms for the NIRS and EEG signals have also been created, and human support systems in the form of BMI/BCI applications have been developed. In the field of rehabilitation, BMI/BCI is used to control environment control systems and electric wheelchairs. In medicine, BMI/BCI is used to assist in communications for patient support. In industry, BMI/BCI is used to analyze sensibility and develop novel games.

This special issue on Brain Machine/Computer Interface and its Application includes six interesting papers that cover the following topics: an EEG analysis method for human-wants detection, cognitive function using EEG analysis, auditory P300 detection, a wheelchair control BCI using SSVEP, a drone control BMI based on SSVEP that uses deep learning, and an improved CMAC model.

We thank all authors and reviewers of the papers and the Editorial Board of Journal of Robotics and Mechatronics for its help with this special issue.

センシングとモニタリングによる QoL 維持のための行動効果検証

満倉靖恵

O plus E: Optics+ electronics Vol.42 ( No.3 ) 368 - 373 2020

KANSEI Detection and Its Application Using the EEG: Widespread of KANSEI Research in Society

満倉靖恵

IEICE ESS Fundamentals Review (一般社団法人電子情報通信学会) 13 ( 3 ) 180 - 186 2020

Brain Visualization: Evaluate the Effect of Lipid Intake on Stress by Quantitative Evaluation Using Brain Function and Electrocardiographic Measurement

満倉靖恵

Oleoscience (公益社団法人日本油化学会) 20 ( 11 ) 499 - 505 2020

How Users of a Smartphone Weather Application Are Influenced by Animated Announcements Conveying Rainfall Intensity and Electronic Gifts Promoting Rain Evacuation

Nakajima Hiroko, Shimazaki Kan, Ishigaki Yang, Miyajima Akiko, Kuriyama Akira, Iwanami Koyuru, Mitsukura Yasue

Journal of Disaster Research (Fuji Technology Press Ltd.) 14 ( 9 ) 1236 - 1244 2019.12

Accepted, ISSN 18812473

In this study, we assumed that animated announcements that conveyed rainfall intensity of localized heavy rain and the distribution of electronic gifts to encourage rain evacuation would promote evacuation actions. If evacuation actions could be promoted through these methods, then the transmission of weather information could be improved. Therefore, we modified the features of a weather information application for smartphones, which was already widely used, and conducted a demonstrative experiment with application users who agreed to participate in order to check the validity. We analyzed users’ behaviors by transmitting information regarding the predicted start time of rain and recording the Global Positioning System coordinates of the users’ smartphones. In addition, a questionnaire survey was administered to the users after the experiment to collect data on their conception of rainfall intensity. The participants were also interviewed. The results of the experiment showed a significant difference in user conception of rainfall intensity depending on whether they had viewed the animation. However, a behavior analysis based on location data showed no statistical bias in the relationship between the animation and rain evacuation behavior.

Elucidating effects of short wavelength light on the body using biological signals

Miyazawa R., Sasai K., Ayaki M., Mitsukura Y.

IECON Proceedings (Industrial Electronics Conference) (IECON Proceedings (Industrial Electronics Conference)) 2019-October 5376 - 53814 2019.10

Accepted, ISSN 9781728148786

© 2019 IEEE. This study aimed to clarify the influence on the body caused by the light stimulation of short wavelength light being transmitted to the hypothalamus in the brain through the retinal hypothalamic tract. And the brain waves of the prefrontal cortex reflecting the function of the hypothalamus and melatonin secretion are compared at the time of receiving short wavelength light and at the time of blocking short wavelength light. Short wavelength light refers to light of blue component with a wavelength of 380-495 nm. This component is often contained in the light from the screen of the electronic device and the light of the LED lighting. In recent years, the opportunity for exposure to short wavelength light has increased due to the increase in usage time of electronic devices and the spread of LED lighting. However, it is said that short wavelength light affects the control of the biological rhythm of the day. This is because the absorption band of photoreceptors involved in the biological clock is equal to the wavelength band of short wavelength light. The nighttime light response of this photoreceptor has been confirmed to suppress the secretion of the sleepiness hormone melatonin and the accompanying decrease in sleepiness, but the light response during time zones other than nighttime and the effect on the brain other than sleepiness due to it is unknown. We compared brain wave and the amount of melatonin secretion in the case of receiving light from tablet terminal which contains a lot of short wavelength light components directly and receiving light through glasses which shields short wavelength light. And We elucidated the effects of short wavelength light on the body by detecting differences. As a result of electroencephalogram analysis, it was revealed that the power spectrum of \boldsymbol{\beta} and \boldsymbol{\beta}/\boldsymbol{\alpha} bands in the morning and \boldsymbol{\delta} band in the night decreased by the reception of short wavelength light. In addition, the results of melatonin secretion suggested that the short wavelength light suppressed melatonin production, so that morning light reception reduced stress and night light reception decreased sleepiness.

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Analysis of the Influence of Lung Function Decline on Brain Function using Brain Healthcare Quotient

Watanabe H., Fukunaga K., Ikaga T., Mitsukura Y.

IECON Proceedings (Industrial Electronics Conference) (IECON Proceedings (Industrial Electronics Conference)) 2019-October 5353 - 5357 2019.10

Accepted, ISSN 9781728148786

© 2019 IEEE. In this paper, we used Brain Healthcare Quotient (BHQ) to analyze the influence of lung function on brain function. A large-scale survey was conducted for the purpose. In the measurement survey, magnetic resonance images were acquired, and BHQ was calculated and used as brain function. As lung function, we measured forced vital capacity (FVC) and calculated forced expiratory volume 1.0 sec (FEV1.0%). As a result of analysis, it became clear that the decrease in FEV1.0% affects GM BHQ and that the decrease in lung function also affects brain function by using BHQ.

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A Robust Table Detection Method for Distortion in Image Acquired from Camera

Nakaigawa T., Mashiyama Y., Mitsukura Y., Hamada N.

IECON Proceedings (Industrial Electronics Conference) (IECON Proceedings (Industrial Electronics Conference)) 2019-October 5347 - 5352 2019.10

Accepted, ISSN 9781728148786

© 2019 IEEE. In this paper, the robust table detection method for distortion is proposed in image acquired by camera. Images acquired by the camera contain distortion due to the curvature of the paper and it makes difficult to detect the table in images. In order to address this issue, a method of dividing the frame line of the table in the vertical direction and the horizontal direction and detecting the frame lines by curve approximation in each direction is proposed. Dividing the frame lines in each direction, it is possible to simplify the multiple curve detection. As a result, the lines detection accuracy in the curved surface image was 99.4%. In addition, similar results were obtained for curved images rotated by 90°. This method can cope with distortion in both the vertical and horizontal directions. From these results, it was confirmed the effectiveness of the proposed method.

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Facial Landmark Activity Features for Depression Screening

Sumali B., Mitsukura Y., Tazawa Y., Kishimoto T.

2019 58th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2019 (2019 58th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2019) 1376 - 1381 2019.09

Accepted, ISSN 9784907764678

© 2019 The Society of Instrument and Control Engineers - SICE. Depression is the most common mood disorder in the world which is also the leading cause of suicide. Depression might be diagnosed using varying modalities, as it affects many aspects of the patient, not only the patient will appear melancholic, but the patient's sleep quality and life quality might also be disrupted. In this study, we aim to extract facial landmark features unique to depression patients and build a machine learning model to classify the depression severity. The facial landmark activities considered in this study include: speed statistics of the landmarks, the standard deviation of eye pupils, and statistical features of mouth area. We found several facial landmark activity features with significant differences between healthy volunteers and depressed patients. We also successfully built machine learning models for automatic depression severity prediction.

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Analysis of Prefrontal Single-Channel EEG Data for Portable Auditory ERP-Based Brain–Computer Interfaces

Ogino M., Kanoga S., Muto M., Mitsukura Y.

Frontiers in Human Neuroscience (Frontiers in Human Neuroscience) 13 250 2019.07

Accepted, ISSN 1662-5161

© Copyright © 2019 Ogino, Kanoga, Muto and Mitsukura. An electroencephalogram (EEG)-based brain-computer interface (BCI) is a tool to non-invasively control computers by translating the electrical activity of the brain. This technology has the potential to provide patients who have severe generalized myopathy, such as those suffering from amyotrophic lateral sclerosis (ALS), with the ability to communicate. Recently, auditory oddball paradigms have been developed to implement more practical event-related potential (ERP)-based BCIs because they can operate without ocular activities. These paradigms generally make use of clinical (over 16-channel) EEG devices and natural sound stimuli to maintain the user's motivation during the BCI operation; however, most ALS patients who have taken part in auditory ERP-based BCIs tend to complain about the following factors: (i) total device cost and (ii) setup time. The development of a portable auditory ERP-based BCI could overcome considerable obstacles that prevent the use of this technology in communication in everyday life. To address this issue, we analyzed prefrontal single-channel EEG data acquired from a consumer-grade single-channel EEG device using a natural sound-based auditory oddball paradigm. In our experiments, EEG data was gathered from nine healthy subjects and one ALS patient. The performance of auditory ERP-based BCI was quantified under an offline condition and two online conditions. The offline analysis indicated that our paradigm maintained a high level of detection accuracy (%) and ITR (bits/min) across all subjects through a cross-validation procedure (for five commands: 70.0 ± 16.1 and 1.29 ± 0.93, for four commands: 73.8 ± 14.2 and 1.16 ± 0.78, for three commands: 78.7 ± 11.8 and 0.95 ± 0.61, and for two commands: 85.7 ± 8.6 and 0.63 ± 0.38). Furthermore, the first online analysis demonstrated that our paradigm also achieved high performance for new data in an online data acquisition stream (for three commands: 80.0 ± 19.4 and 1.16 ± 0.83). The second online analysis measured online performances on the different day of offline and first online analyses on a different day (for three commands: 62.5 ± 14.3 and 0.43 ± 0.36). These results indicate that prefrontal single-channel EEGs have the potential to contribute to the development of a user-friendly portable auditory ERP-based BCI.

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Simple Stress Quantitative Evalution for Healthcare Using Daily KANSEI Detection with EEG Device - Relation between Stress and Healthcare

Yasue Mitsukura, Brian Sumali, Yuuki Tazawa, Taishiro, Kishimoto, and Masaru Mimura

Modern Environmental Science and Engineering 2019.07

Research paper (scientific journal), Joint Work

住宅内温熱環境が脳機能・呼吸機能に与える影響および相互解析住環境が脳機能に及ぼす影響に関する実測調査その9

満倉靖恵，渡邉秀斗，伊香賀俊治，山川義徳，内田泰史，安藤真太朗，福永興壱

環境工学 I 171 - 172 2019.07

脳波測定器を用いた上下振動に対する不快度の定量評価に関する研究その1 脳波測定の基礎実験

三輪田吾郎，石川理都子，山中昌之，江村勝，中塚光一，満倉靖恵

環境工学 I 2019 483 - 484 2019.07

冬季の室内温熱環境が脳健康指標に及ぼす影響に関する横断調査及び縦断調査住環境が脳機能に及ぼす影響に関する実測調査 (その8)

松本実紗，伊香賀俊治，山川義徳，内田泰史，村上周三，安藤真太朗，満倉靖恵

環境工学 I 2019 169 - 170 2019.07

脳波測定器を用いた上下振動に対する不快度の定量評価に関する研究その2 アンケート分析結果

石川理都子，三輪田吾郎，山中昌之，柏俣明子，下田亮太，満倉靖恵

環境工学 I 485 - 486 2019.07

簡易脳波計測を用いた住宅の寒暖とストレスの関係調査住環境が脳機能に及ぼす影響に関する実測調査その10

渡邉秀斗，満倉靖恵，伊香賀俊治，山川義徳，安藤真太朗

環境工学 I 173 - 174 2019.07

Sleep Stage Detection Using only Heart Rate

Yasue Mitsukura, Koichi Fukunaga, Masato Yasui, and Masaru Mimura

Health Informatics Journal (Health Informatics Journal) 26 ( 1 ) 376 - 387 2019.02

Research paper (scientific journal), Joint Work, Accepted, ISSN 14604582

© The Author(s) 2019. Getting enough quality sleep plays a vital role in protecting our mental health, physical health, and quality of life. Sleep deprivation can make it difficult to concentrate on daily activities, and lower sleep quality is associated with hypertension, hyperglycemia, and hyperlipidemia. The amount of sleep we get is important, but in recent years, quality sleep has also been deemed significant. Polysomnography, which has been the gold standard in assessing sleep quality based on stages, requires that the subject be attached to electrodes, which can disrupt sleep. An easier method to objectively measure sleep is therefore needed. The aim of this study was to construct an easy and objective sleep stage monitoring method. A cross-sectional study for healthy subjects has been done in our research. A new easy model for monitoring the sleep stages is built on only heart rate calculated by the electrocardiogram. This enabled us to easily assess the sleep quality based on five stages. This experiment included a total of 50 subjects. The overall accuracy in determining the five sleep stages was 66.0 percent. Four stages for sleep are identified accurately compared with other conventional methods. Despite there are no five sleep stage separation method using only heart rate, our method achieved the five separation for sleep with a relatively good accuracy. This study represents a great contribution to the field of sleep science. Because sleep stages can be recognized by the heart rate alone, sleep can be noninvasively assessed with any heart rate meter. This method will make it easier to determine sleep stages and diagnose sleep disorders.

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Actigraphy for Evaluation of Mood Disorders: A Systematic Review and Meta-Analysis

Yuuki Tazawa, Masataka Wada, Yasue Mitsukura, Akihiro Takamiya, Momoko Kitazawa, Michitaka Yoshimura, Masaru Mimura, and Taishiro Kishimoto

Journal of Affective Disorders (Journal of Affective Disorders) 253 257 - 269 2019.01

Research paper (scientific journal), Joint Work, Accepted, ISSN 01650327

© 2019 Background: Actigraphy has enabled consecutive observation of individual health conditions such as sleep or daily activity. This study aimed to examine the usefulness of actigraphy in evaluating depressive and/or bipolar disorder symptoms. Method: A systematic review and meta-analysis was conducted. We selected studies that used actigraphy to compare either patients vs. healthy controls, or pre- vs. post-treatment data from the same patient group. Common actigraphy measurements, namely daily activity and sleep-related data, were extracted and synthesized. Results: Thirty-eight studies (n = 3,758) were included in the analysis. Compared with healthy controls, depressive patients were less active (standardized mean difference; SMD=1.27, 95%CI=[0.97, 1.57], P<0.001) and had longer wake after sleep onset (SMD= − 0.729, 95%CI=[− 1.20, − 0.25], p = 0.003). Total sleep time (SMD= − 0.33, 95%CI=[− 0.55, − 0.11], P = 0.004), sleep latency (SMD= − 0.22, 95%CI=[− 0.42, − 0.02], P = 0.032), and wake after sleep onset (SMD= − 0.22, 95%CI=[− 0.39, − 0.04], P = 0.015) were longer in euthymic/remitted patients compared to healthy controls. In pre- and post-treatment comparisons, sleep latency (SMD=− 0.85, 95%CI=[− 1.53, − 0.17], P = 0.015), wake after sleep onset (SMD= − 0.65, 95%CI=[− 1.20, − 0.10], P = 0.022), and sleep efficiency (SMD=0.77, 95%CI=[0.29, 1.24], P = 0.002) showed significant improvement. Limitation: The sample sizes for each outcome were small. The type of actigraphy devices and patients’ illness severity differed across studies. It is possible that hospitalizations and medication influenced the outcomes. Conclusion: We found significant differences between healthy controls and mood disorders patients for some actigraphy-measured modalities. Specific measurement patterns characterizing each mood disorder/status were also found. Additional actigraphy data linked to severity and/or treatment could enhance the clinical utility of actigraphy.

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耳鳴・聴覚過敏の他覚的検査法脳波検査

MITSUKURA YASUE

JOHNS 35 ( 1 ) 31 - 36 2019

Research paper (scientific journal), Joint Work, Accepted

Influence of meningeal lymphatic vessels on brain mechanisms

Matsuoka Masashi, Mitsukura Yasue, Ishikawa Tomoe, Yasui Masato

Proceedings for Annual Meeting of The Japanese Pharmacological Society (Japanese Pharmacological Society) 92 ( 0 ) 1 - YIA-30 2019

Accepted

The central nervous system has been considered as an organ devoid of lymphatic vessels. Meningeal lymphatic vessels were discovered and it is thought that elucidating mechanism of these vessels contributes to the studies on neurodegenerative diseases such as Alzheimer's disease and multiple sclerosis. Previous researches focused on material flow in the brain and excretion of proteins and immune cells. There are few researches directly investigating the relationship between the brain and meningeal lymphatic vessels. Our research focused on structure of brain cells and neural activities. Meningeal lymphatic vessels connect to the deep cervical lymph nodes (dcLNs). Ligating efferent lymphatic vessels of dcLNs lead to the reduction of cerebrospinal fluid (CSF) drainage. Electrocorticography (ECoG) was recorded for 8 weeks and glial cells and synapses were immunostained in mice 1, 4 and 8 weeks after ligation. Results showed that reducing lymphatic flow concerned neural activities.

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Influence of meningeal lymphatic vessels on brain mechanisms

松岡将司，満倉靖恵，石川智愛，安井正人

日本薬理学会年会要旨集第92回日本薬理学会年会 (Japanese Pharmacological Society) 92nd 2019

The central nervous system has been considered as an organ devoid of lymphatic vessels. Meningeal lymphatic vessels were discovered and it is thought that elucidating mechanism of these vessels contributes to the studies on neurodegenerative diseases such as Alzheimer's disease and multiple sclerosis. Previous researches focused on material flow in the brain and excretion of proteins and immune cells. There are few researches directly investigating the relationship between the brain and meningeal lymphatic vessels. Our research focused on structure of brain cells and neural activities. Meningeal lymphatic vessels connect to the deep cervical lymph nodes (dcLNs). Ligating efferent lymphatic vessels of dcLNs lead to the reduction of cerebrospinal fluid (CSF) drainage. Electrocorticography (ECoG) was recorded for 8 weeks and glial cells and synapses were immunostained in mice 1, 4 and 8 weeks after ligation. Results showed that reducing lymphatic flow concerned neural activities.

特集ビギナーのための耳鳴・聴覚過敏診療耳鳴・聴覚過敏の他覚的検査法脳波検査

満倉靖恵，松岡将司，神崎晶

JOHNS 35 ( 1 ) 31 - 36 2019

Extraction of Time Delay in Stress Fluctuation During Excavation Work for KANSEI Feedback Control System in Hydraulic Excavators

Risa Nara, Yasue Mitsukura, Nozomu Hamada

計測自動制御学会システム・情報部門学術講演会2018 (IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin) 2018-September 2018.12

Accepted, ISSN 9781538660959

© 2018 IEEE. In this paper, we aimed to extract time delay in stress fluctuation during excavation work to realize a control system of hydraulic excavators (KANSEI feedback control system). In recent years, there is a growing demand to remove stress caused by harsh working environments, because they may cause life-threatening diseases including depression. We focused on construction sites as examples of harsh working environments. Attempts have been made to reduce noise and vibration of hydraulic excavators to improve the environment surrounding workers. These attempts do not consider operability however, which is also a considerable cause of stress. We attempted to improve the operability of hydraulic excavators by realizing automatic control system using stress values (KANSEI feedback control system). In order to realize this system, there are two phases: Finding correlation between control output and stress (phase 1), and finding correlation between control input and stress (phase 2). In this research, we aimed to achieve phase 1, and extracted the time delay in stress fluctuation of operators with different skill levels using different types of hydraulic excavators. As a result, it was confirmed that the time delay tended to increase with working time.

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Heart Rate Estimation Method by Measuring Pulse Wave Through Conductive Fibers Mounted on Forearms

Yoshiki Mashiyama, Masaki Nagura, Yasue Mitsukura

計測自動制御学会システム・情報部門学術講演会2018 (IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin) 2018-September 2018.12

Accepted, ISSN 9781538660959

© 2018 IEEE. In this paper, we propose a method for estimating heart rate from pulse wave measured through conductive fibers mounted on forearms. In recent years, heart rate is an effective index for describing mental and physical condition. Accordingly, many types of wearable heart rate measuring devices have been developed. However, there are problems such as uncertainty in the measured waveform caused by contact failure and large burdens on subjects brought by wearing oppression. Hence, it is necessary to have a device that brings less burdens and can measure stably. In this research, we propose a forearm-mounted pulse wave measuring device made of stretchable conductive fibers that can be comfortably worn and can reduce contact failure. In addition, we propose a method for estimating heart rate from pulse wave measured by proposed device. In order to evaluate the effectiveness of the proposed method, we show the accuracy of measuring heart rate and the sample entropy of the heart rate variability waveform. As a result, it was confirmed that pulse wave can be measured stably irrespective of both rest and moving state.

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Feature analysis of electroencephalography in patients with depression

Nakamura R., Mitsukura Y.

2018 IEEE Life Sciences Conference, LSC 2018 (2018 IEEE Life Sciences Conference, LSC 2018) 53 - 56 2018.12

Accepted, ISSN 9781538667095

© 2018 IEEE. Recently many people are suffering from mental illnesses like depression worldwide. Although they are ambiguous and have difficulties in grasping the states of patients, in fact they lower their quality of life. The total loss of economics, life and quality of life by depression is big enough that it cannot be ignored. It is important for the patients to recover from depression and also for the healthy controls not to become depression. So correct diagnosis and treatment are essential for the people. In actual clinical field, incorrectness of diagnosis is now regarded as issue. To construct an objective way of evaluation on depression, we set a goal of extraction of features in depressive electroencephalography (EEG). Unlike other studies in this field, this study has mainly two points of unique. Firstly, this feature analysis is using signal from just one channel located in frontal lobe (Fp1). Secondly, the acquisition of EEG was conducted during actual clinical inquiry or under similar situation. After the experiment, EEG of both depression patients and healthy controls were compared through two-sample t-test.

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A Mobile Application for Estimating Emotional Valence Using a Single-Channel EEG Device

Mikito Ogino, Yasue Mitsukura

Proc. of 57th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE 2018) (2018 57th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2018) 1043 - 1048 2018.10

Accepted, ISSN 9784907764609

© 2018 The Society of Instrument and Control Enginners - SICE. A product assessment is the important process to develop a new product. After a new product has been developed, the product developers hire ordinary people and give an interview to them. In recent years, a new method called 'neuromarketing' is used for product evaluation. However, it is difficult to use the conventional measurement devices and they are mainly used in an experimental environment. In this paper, we developed the model to estimate human emotions, especially valence by using single-channel EEG device. We used the fast Fourier transform, the robust scaling and the support vector regression to predict the valence score. The parameters of the methods were selected by using the grid search and the genetic algorithm. The designed model was evaluated by the correlation coefficient and the classification accuracy of two classes between predicted valence data and labeled valence data. The scores were 0.36 and 72.40%.

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冬季の室内温熱環境が身体・脳機能へ及ぼす影響に関する共分散構造分析住環境が脳機能に及ぼす影響に関する実測調査 (その7)

藤田浩平, 安藤真太朗, 伊香賀俊治, 山川義徳, 内田泰史, 満倉靖恵, 篠原幸志朗, 仁部佳央里

環境工学 I (一般社団法人日本建築学会) 2018 75 - 76 2018.07

実測調査に基づく室温の平年値を用いた冬季住宅内温熱環境と脳健康指標との関連住環境が脳機能に及ぼす影響に関する実測調査 (その5)

松本実紗, 伊香賀俊治, 山川義徳, 内田泰史, 村上周三, 安藤真太朗, 満倉靖恵, 中島侑江

環境工学 I (一般社団法人日本建築学会) 2018 71 - 72 2018.07

Evaluation of stress accumulation using the EEG and NIRS

Asano T., Mitsukura Y.

2017 IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2017 (2017 IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2017) 348 - 352 2018.06

Accepted, ISSN 9781538646625

© 2017 IEEE. In the recent research, accumulation of stress has been shown to induce lifestyle diseases and mental/nervous diseases. In this research, visual search task was chosen to stress subjects, and the brain activity was measured by using near infrared spectroscopy (NIRS) and an electroencephalograph (EEG) was measured. Advantages of using these in combination are that it is relatively simple and less burdensome to the subject and it can be measured from the two viewpoints of neural activity and hemodynamics for the same brain region. As prior research, there are studies investigating the presence of stress by using brain activity, but there are no researches measuring the change in brain activity under continuous stress. The aim of this research is to extract features of active sites of brain function and electroencephalograms in stress accumulation. This research conducted experiments and analysis focusing on the two poles of Fp1 and Fp2 in international 10-20 method. In NIRS, when every time stress was accumulated, the difference was confirmed between right and left in brain activity. In EEG, there was no common feature between data in frequency and phase. From the above, it is possible to objectively and quantitatively evaluate the degree of stress accumulation by combining near-infrared spectroscopy and electroencephalograph by extracting a feature amount that changes every time stress accumulates in the EEG signal. As future tasks, the number of subjects should be increased. Also, different types of EEG analysis and the number of measurement points should be considered.

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Influence on electroencephalogram at the prefrontal cortex due to tinnitus and sounds

Matsuoka M., Mitsukura Y., Kanzaki S.

Accepted, ISSN 9781538646625

© 2017 IEEE. The purpose of this paper is to investigate the influence on electroencephalogram (EEG) at the prefrontal cortex due to tinnitus and sounds. Tinnitus is a phenomenon that a person hears sounds even though there is no sound source. Conventional methods of investigating tinnitus are subjective and need long time. In this paper, EEG at the prefrontal cortex was used because the relationship between tinnitus and prefrontal cortex has been revealed. Tinnitus patients and healthy controls were classified and the distress level was estimated using EEG in researches so far, and identified the necessary features for these analyses. However, there is a problem that it is not certain whether features used in these analyses arise similarly in tinnitus and other sounds. The purpose of this paper is to verify which EEG features identified in previous researches arise from tinnitus or sounds. EEG data of tinnitus patients and healthy controls were measured and a questionnaire was conducted on tinnitus distress to the tinnitus patients. EEG measurements of healthy controls at resting with no stimulation and at listening to sounds which simulated tinnitus were performed and a questionnaire was conducted to see which sound they felt distress. Differences of EEG between tinnitus patients and healthy controls and differences of EEG between controls at resting with no stimulation and at listening to sound were different. It is thought that EEG changes of tinnitus patients at the prefrontal cortex arise from only tinnitus.

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A Practical BCG Measuring System with Bed Sensors and Algorithm for Heartbeat Detection

Masaki Nagura, Yasue Mitsukura, Koichi Fukunaga, Masato Yasui, Masaru Mimura

Proc. of The 19th International Workshop on Advanced Motion Control (AMC 2018) (Proceedings - 2018 IEEE 15th International Workshop on Advanced Motion Control, AMC 2018) 317 - 321 2018.06

Accepted, ISSN 9781538619469

© 2018 IEEE. Ballistocardiogram (BCG) is useful and informative signal result from the cardiac activity. In this paper, we present a practical BCG measurement system with bed sensors. Moreover, the simple algorithm to detect all individual heartbeats and estimate beat-to-beat interval lengths is presented. These are effective for all night continuous monitoring of cardiovascular system and enable us to detect sleep stage. Heart beats is detected by cross-correlation method. This method has three steps, preprocessing, typical wave form creation and cross-correlation calculation. Output of this process were validated with 10 subjects. As the results, the average 71.5% of the beat-to-beat intervals were detected. Moreover this study revealed that the individual difference is significant factor to detect heart beats precisely.

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Quantification of pain degree by frequency features of single-chanelled EEG

Kagita J., Mitsukura Y.

Proceedings - 2018 IEEE 15th International Workshop on Advanced Motion Control, AMC 2018 (Proceedings - 2018 IEEE 15th International Workshop on Advanced Motion Control, AMC 2018) 359 - 363 2018.06

Accepted, ISSN 9781538619469

© 2018 IEEE. The final aim of this paper is to classify pain degree by only using Electroencephalogram (EEG) measured with single-channel. In clinical care, pain degree is needed for choosing and evaluating treatments, and it is important for clinicians to quantify pain degree as objectively as possible. Pain rating scales such as the Visual Analogue Scales (VAS) are usually used to quantify pain degree, which is only capable of subjective values due to self-report. From that, a method to quantify pain degree objectively has great importance. In this paper, we propose the possibility of quantifying pain degree by only using EEG measured with single-channel. 28 Subjects' EEG is measured while in 2 states; pain-free (VAS score of 0) and pain (VAS score of 3-4). By extracting frequency features from the measured EEG, and classifying using Support Vector Machine (SVM), the subjects in 2 states were classified with the accuracy of 100%. The results show reliability and validity of classifying pain degree using EEG measured with single-channel.

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An EEG-Based Robot Arm Control to Express Human Emotions

Mikito Ogino, Yasue Mitsukura

Proc. of Advanced Motion Control (AMC 2018) (Proceedings - 2018 IEEE 15th International Workshop on Advanced Motion Control, AMC 2018) 322 - 327 2018.06

Accepted, ISSN 9781538619469

© 2018 IEEE. Prosthetic limbs are designed to move naturally like human limbs. To reduce the feeling of abnormality when moving prosthetic limbs, previous studies have altered the appearance of robotic limbs along with the speed of the motors inside these limbs. The use of the wearer's emotions to control prosthetic limbs would allow robotic arms and legs to move more naturally. Recently, electroencephalograms (EEGs) have been used to estimate human emotions. In this study, we developed an emotion analyzer and applied it in a robotic arm system that changes its movement based on the user's emotions. In the proposed system, EEG data are measured by a simplified EEG headset and transferred to an iPad. An iPad application then transforms the signal to a value of 'wakuwaku' feeling using the band-pass filtering, fast Fourier transform, and support vector machine methods. The accuracy of the algorithm estimating the wakuwaku feeling was 75.10%, and the robot arm moved accurately based on the user emotion estimated from the EEG data. Our findings are expected to lead to a new field of study focused on controlling robot arms using human emotions.

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Development of an affordable and easy-to-install fall detection system

Güttler J., Bittner A., Langosch K., Bock T., Mitsukura Y.

IEEJ Transactions on Electrical and Electronic Engineering (IEEJ Transactions on Electrical and Electronic Engineering) 13 ( 5 ) 664 - 670 2018.05

Accepted, ISSN 19314973

© 2018 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc. Falling, especially in old age, is a serious health threat. Depending on the severity of such accidents, risk of injury, and the helpless state of the elderly and infirm persons, it is difficult to impossible for the concerned persons to call for help. This kind of situation and its associated perceptions already cause anxiety. There is, therefore, much interest in fall detection for persons in need of care and caregivers as these systems promise security and help when needed, and they also provide a feeling of safety. However, modern fall detection systems are mostly wearables or are expensive in their implementation. As such, this paper focuses on a novel approach to fall detection, developed in two iterative main cycles and finally implemented in a real apartment for testing purposes. The proposed fall detection aims to be installed into the baseboard of a room, which allows an easy and cost-effective integration of the proposed system. Especially in rooms like the bathroom, where discretion is very important, the proposed system benefits from its use of light barriers instead of image recognition to identify a fallen person. Additionally, the collected data can be wirelessly transmitted to a server via a gateway using XBee modules and Wi-Fi. The latest developments of the fall detection prototype, including the hardware and software implementation, will be presented in this paper, and its strength and weak points will also be discussed. © 2018 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.

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Development of an affordable and easy‐to‐install fall detection system

J Güttler, A Bittner, K Langosch, T Bock, Y Mitsukura

IEEJ Transactions on Electrical and Electronic Engineering 13 ( 5 ) 664 - 670 2018.05

An Estimation of Heart Rate Variability from Ballistocardiogram Measured with Bed Leg Sensors

Masaki Nagura, Yasue Mitsukura, Koichi Fukunaga, Masato Yasui, Masaru Mimura

Proc. of The 19th IEEE International Conference on Industrial Technology (ICIT 2018) (Lyon (France)) 2018-February 2005 - 2009 2018.04

Accepted, ISSN 9781509059492

© 2018 IEEE. Ballistocardiogram (BCG) is the repetitive body movements related to cardiac cycle. All night continuous measuring of BCG by using bed sensors enable us to detect sleep stage. However conventional methods are seemed to have unreliability caused by position of lying down. In this paper, we propose a reliable method of all night continuous measuring of BCG. Heart rate variability (HRV) is estimated from BCG measured with new bed sensors by template-matching approach. This approach has three steps, pre-processing, template-creation and template matching. Output of this process were validated with 4 subjects. The mean beat-to-beat interval error was 9.8[ms] and on an average 87.1% of the beat-to-beat intervals were detected.

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Quantification of Pain Degree Using EEG with Simple Device

Junichiro Kagita, Yasue Mitsukura

Proc. of The 19th IEEE International Conference on Industrial Technology (ICIT 2018) (Proceedings of the IEEE International Conference on Industrial Technology) 2018-February 2014 - 2017 2018.04

Accepted, ISSN 9781509059492

© 2018 IEEE. The final aim of this paper is to quantify pain degree by only using Electroencephalogram (EEG) measured with simple device. Pain degree dominates the choice and assessment of a treatment in clinical care. It is conventionally quantified using pain rating scales, although they are not capable of attaining objective values. Therefore, a method which can quantify pain degree objectively has great importance. In this paper, the possibility of quantifying pain degree by only using EEG measured with simple device is proposed. The proposed method is in an easy manner considering its time consummation and procedures. Significant difference in EEG features between pain-free, painful, and psychologically painful state were confirmed as the results of the experiment, showing the possibility of attaining objective pain degree by using EEG measured with simple device.

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脳波解析を用いた前向き感の定量評価

太田英作, 小杉亘, 逸見将, 岡田賢次, 岡本正文, 篠塚真仲, 児玉晴佳, 満倉靖恵

電気学会研究会資料. CT/制御研究会 [編] (電気学会) 2018 ( 67-74・76 ) 21 - 24 2018.03

香り・においを脳波で測る

荻野幹人, 満倉靖恵, 中辻晴彦, 青木恵

AROMA RESEARCH 19 ( 1 ) 2018.02

Research paper (scientific journal), Joint Work, Accepted

様々な感性を定量化し、心と暮らしにフィードバック

満倉靖恵

日経サイエンス 48 ( 2 ) 2018.02

Research paper (scientific journal), Single Work, Accepted

簡易型脳波計を用いた眠気評価による香りの選定

荻野幹人, 満倉靖恵, 中辻晴彦, 青木恵

AROMA RESEARCH (フレグランスジャーナル社) 76 ( 19 ) 10 - 15 2018

Research paper (scientific journal), Joint Work, ISSN 1345-4722

Portable Drowsiness Detection through Use of a Prefrontal Single-Channel Electroencephalogram

Mikito Ogino and Yasue Mitsukura

Sensors (Sensors (Switzerland)) 18 ( 12 ) 4477 - 4477 2018

Research paper (scientific journal), Joint Work, ISSN 14248220

© 2018 by the authors. Licensee MDPI, Basel, Switzerland. Drowsiness detection has been studied in the context of evaluating products, assessing driver alertness, and managing office environments. Drowsiness level can be readily detected through measurement of human brain activity. The electroencephalogram (EEG), a device whose application relies on adhering electrodes to the scalp, is the primary method used to monitor brain activity. The many electrodes and wires required to perform an EEG place considerable constraints on the movement of users, and the cost of the device limits its availability. For these reasons, conventional EEG devices are not used in practical studies and businesses. Many potential practical applications could benefit from the development of a wire-free, low-priced device; however, it remains to be elucidated whether portable EEG devices can be used to estimate human drowsiness levels and applied within practical research settings and businesses. In this study, we outline the development of a drowsiness detection system that makes use of a low-priced, prefrontal single-channel EEG device and evaluate its performance in an offline analysis and a practical experiment. Firstly, for the development of the system, we compared three feature extraction methods: power spectral density (PSD), autoregressive (AR) modeling, and multiscale entropy (MSE) for detecting characteristics of an EEG. In order to efficiently select a meaningful PSD, we utilized step-wise linear discriminant analysis (SWLDA). Time-averaging and robust-scaling were used to fit the data for pattern recognition. Pattern recognition was performed by a support vector machine (SVM) with a radial basis function (RBF) kernel. The optimal hyperparameters for the SVM were selected by the grind search method so as to increase drowsiness detection accuracy. To evaluate the performance of the detections, we calculated classification accuracy using the SVM through 10-fold cross-validation. Our model achieved a classification accuracy of 72.7% using the PSD with SWLDA and the SVM. Secondly, we conducted a practical study using the system and evaluated its performance in a practical situation. There was a significant difference (* p < 0.05) between the drowsiness-evoked task and concentration-needed task. Our results demonstrate the efficacy of our low-priced portable drowsiness detection system in quantifying drowsy states. We anticipate that our system will be useful to practical studies with aims as diverse as measurement of classroom mental engagement, evaluation of movies, and office environment evaluation.

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A development of new method to measure a human sensitivity related to the feeling "desire to eat" by using EEG analyses.

Nishiwaki Mika, Goto Mayu, Asakura Anna, Ishida Ken, Yamaguchi Takashi, Watanabe Kenichi, Mitsukura Yasue

Abstracts of the Annual Meeting of the Japan Society of Cookery Science (The Japan Society of Cookery Science) 30 ( 0 ) 2018

Accepted

【目的】 脳波分析を活用した、ヒトの「食べたい気持ち」「やみつき感」に関連した感性の数値化、可視化 【方法】 被験者に感性アナライザ1)（簡易脳波計）を装着して、連続的に脳波を測定しながら以下の実験を実施した。１）同一食品群で数種の商品（メニュー）を提示し、アンケートにて「食べたい」「食べたくない」を回答。２）全食品（メニュー）に対するアンケートを回答後、それらの中から1品を決定して実際に試食を実施。３）試食したメニューについて再度アンケートで「食べたい」「食べたくない」を回答。 【結果】 得られた脳波については、ノイズ除去などの前処理をした後、周波数変換によってスペクトルを算出、４－２２Ｈｚにおける特徴量を抽出した。アンケートで得られた評価をもとに、「食べたい」と答えたときの脳波の特徴と「食べたくない」と答えたときの脳波の特徴を比較し、周波数４－２２Ｈｚのすべての組合せ（19変数、19!=1.2165×10^17通り）から最大の分類率を示す周波数の組合せ５種を選び出した（分類率；食べたい時に「食べたい度合い」が取れている＝認識しているか否か）。周波数４－２２Ｈｚの特徴量における分類率が59.8％だったのに対し、選ばれた周波数５種の特徴量の分類率は85.5％を示した（約25%分類率が向上した）。以上の一連の実験結果から、「食べたい」に関連する脳波特徴の抽出が可能となり、食前・食後の脳波を測定することで、その食品の「食べたい」気持ちが測定できる可能性が示された。 1) 感性アナライザc 電通サイエンスジャム https://kansei-analyzer.com/

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AN AIR ENVIRONMENT EVALUATION USING ELECTROENCEPHALOGRAM(EEG)

木幡容子, 篠塚真仲, 山本聡彦, 船守宏和, 満倉靖恵

Techinical Papers of Annual Meeting the Society of Heating,Air-conditioning and Sanitary Engineers of Japan (The Society of Heating,Air-Conditioning&Sanitary Engineers of Japan) 2018 ( 0 ) 141 - 144 2018

Accepted, ISSN 1880-3806

本論文の目的は、空気環境が脳波に与える影響を明らかにした上で、更に日常生活にどのような影響を及ぼすかを明らかにすることである。我々は空気環境の違いが脳に与える影響、感情や感性に与える影響、そさらには日常生活に与える影響を明らかにすべく、一般に空気の浄化を行うことができると言われるイオン発生機に着目し、イオンのある空気と脳波の関係を明らかにする。更に屋外の自然環境と室内環境間での脳波の比較も行いその変化を確認することで、より広範囲における空気環境の脳波に与える影響を明らかにする。

笑顔によるストレスコーピングの検証

太田英作, 満倉靖恵

Annual convention of the Japanese Association of Health Psychology : proceedings (The Japanese Association of Health Psychology) 31 ( 0 ) P79 2018

Accepted

Relationship between the Indoor Thermal Environment and Grey Matter Volume or Fractional Anisotropy

松本実紗, 伊香賀俊治, 山川義徳, 内田泰史, 村上周三, 安藤真太朗, 満倉靖恵, 中島侑江

Accepted, ISSN 1880-3806

寒冷暴露が脳機能に悪影響を及ぼすと仮定し、高知県梼原町在住の90名について、2016年度及び2017年度の冬季に住宅の温熱環境測定、対象者の血圧及び活動量測定、MRI 装置による脳機能検査、アンケート調査を実施した。多変量解析の結果、個人属性、生活習慣、血圧及び活動量を考慮した上でも、居間の床上1.1mの冬季室温が寒冷な居住者は全脳領域神経線維拡散度の得点が有意に低いことを確認した。

Relationship between indoor temperature in winter and Brain Healthcare Quotient

Matsumoto M., Ikaga T., Yamakawa Y., Uchida Y., Murakami S., Ando S., Mitsukura Y., Hayashi Y.

15th Conference of the International Society of Indoor Air Quality and Climate, INDOOR AIR 2018 (15th Conference of the International Society of Indoor Air Quality and Climate, INDOOR AIR 2018) 2018

Accepted, ISSN 9781713826514

In Japan, where the population is aging, it is necessary to maintain mental and physical health over the long term in order to solve social problems such as increasing medical expenses. It has been suggested that exposure to cold adversely affects brain health. Thus, we hypothesized that the brain health of residents in cold houses would be worse than that of residents in warm houses. In the winter season from 2016 to 2017, we measured indoor temperature, conducted brain health tests using MRI examination, and administered questionnaire surveys for 59 residents of a town in northern Japan. The results of multiple regression analysis show that residents who had a cold living room had lower indexes representing the quality of cranial nerve fibers than residents who had a warm living room in winter.

Feature analysis of electroencephalography in patients with depression

Risa Nakamura, Yasue Mitsukura

2018 IEEE Life Sciences Conference (LSC) (IEEE) 53 - 56 2018

A development of new method to measure a human sensitivity related to the feeling “desire to eat” by using EEG analyses.

西脇美香, 後藤麻友, 朝倉杏奈, 石田健, 山口隆司, 渡辺健市, 満倉靖恵

日本調理科学会大会研究発表要旨集 (日本調理科学会) 30 (0) 135 2018

脳波を用いた環境の違いによる感性の定量評価

木幡容子, 篠塚真仲, 山本聡彦, 船守宏和, 満倉靖恵

空気調和・衛生工学会大会　学術講演論文集 (公益社団法人空気調和・衛生工学会) 2018.7 (0) 141 - 144 2018

本論文の目的は、空気環境が脳波に与える影響を明らかにした上で、更に日常生活にどのような影響を及ぼすかを明らかにすることである。我々は空気環境の違いが脳に与える影響、感情や感性に与える影響、そさらには日常生活に与える影響を明らかにすべく、一般に空気の浄化を行うことができると言われるイオン発生機に着目し、イオンのある空気と脳波の関係を明らかにする。更に屋外の自然環境と室内環境間での脳波の比較も行いその変化を確認することで、より広範囲における空気環境の脳波に与える影響を明らかにする。

Relationship between indoor temperature in winter and Brain Healthcare Quotient

Misa Matsumoto, Toshiharu Ikaga, Yoshinori Yamakawa, Yasufumi Uchida, Shuzo Murakami, Shintaro Ando, Yasue Mitsukura, Yukie Hayashi

15th Conference of the International Society of Indoor Air Quality and Climate, INDOOR AIR 2018 (International Society of Indoor Air Quality and Climate) 2018

Real-Time Kansei Analysis During Communication Using a Simplified EEG

Tsutomu Sato, Yasue Mitsukura, and Tetsuya Toma

Emotional Engineering 6 ( 1 ) 63 - 73 2017.12

Research paper (scientific journal), Joint Work

Review of Artifact Rejection Methods for Electroencephalographic Systems

Suguru Kanoga and Yasue Mitsukura

Electroencephalography, InTech 69 - 89 2017.11

Research paper (scientific journal), Joint Work

An Earbud-Based Photoplethysmography and its Application

Yohei Tomita and Yasue Mitsukura

Electronics and Communications in Japan (Electronics and Communications in Japan) 101 ( 1 ) 32 - 38 2017.11

Research paper (scientific journal), Joint Work, Accepted, ISSN 19429533

© 2017 Wiley Periodicals, Inc. This paper presents an earbud-based photoplethysmography (PPG) and its application. This PPG recording system permits long-term continuous monitoring of cardiovascular function since it can be worn comfortably on ears. Experimental investigations showed that stress and drowsiness could be estimated by analyzing measured PPG signals. Furthermore, noise suppression techniques for motion noises and ambient light interferences are introduced to make a recorded signal more acceptable.

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脳波による耳鳴りの有無と苦痛度推定

満倉靖恵, 神崎晶, 小川郁

日本聴覚学会論文誌(AUDIOLOGY JAPAN) 60 ( 5 ) 454 2017.10

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A Study of Pattern Recognition in Children Using Single-Channel Electroencephalogram for Specialized Electroencephalographic Devices

Suguru Kanoga and Yasue Mitsukura

Electronics and Communications in Japan 100 ( 11 ) 43 - 53 2017.10

Research paper (scientific journal), Joint Work

Effect of Room Temperature Diference in Winter on Brain Healthcare Quotient

松本実紗, 伊香賀俊治, 山川義徳, 内田泰史, 村上周三, 安藤真太朗, 満倉靖恵, 林侑江

公益社団法人空気調和・衛生工学会 6 2017.09

高齢化が進行する日本では、医療費の増加等の社会問題を解決するため心身の健康を長期的に保つことが必要である。そして、脳機能は心身の健康を長期的に保つために重要な要素の一つである。住宅内温熱環境と脳機能の関連を検討するための調査が2016年の冬季に実施された。その結果、居間と脱衣所の室間温度差が大きい住宅に住む者は、温度差が小さい住宅に住む者と比較し脳神経線維の質が低い傾向が示された。

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感性をリアルタイムで測り製品に生かす試み（“デライト”を科学する）

満倉靖恵, 関研一, 井上全人, 森田小百合, 西村秀和

設計工学 52 ( 7 ) 434 - 438 2017.07

Research paper (scientific journal), Joint Work

簡易脳波計を用いた住宅の寒暖とストレスの関係調査　住環境が脳機能に及ぼす影響に関する実測調査（その4）

山口素直,満倉靖恵,伊香賀俊治,山川義徳,内田泰史,安藤真太朗

環境工学I 学術講演梗概集 (日本建築学会) 2017 ( 2017 ) 41 - 42 2017.07

冬季の住宅温熱環境と下肢筋力・脳健康指標との関連分析　住環境が脳機能に及ぼす影響に関する実測調査（その3）

藤田浩平，安藤真太朗，伊香賀俊治，山川義徳，内田泰史，満倉靖恵

環境工学I 学術講演梗概集 (日本建築学会) 2017 ( 2017 ) 39 - 40 2017.07

冬季の住宅内温熱環境と脳健康指標の関係分析住環境が脳機能に及ぼす影響に関する実測調査 (その 2)

松本実紗, 伊香賀俊治, 山川義徳, 内田泰史, 村上周三, 安藤真太朗, 満倉靖恵, 中島侑江

環境工学I 学術講演梗概集 (日本建築学会) 2017 ( 2017 ) 37 - 38 2017.07

MRI 検査に基づく脳健康指標と住環境測定の概要住環境が脳機能に及ぼす影響に関する実測調査 (その 1)

伊香賀俊治,山川義徳,内田泰史,村上周三,安藤真太朗,満倉靖恵,松本実紗,林侑江,林侑江

環境工学I 学術講演梗概集 (日本建築学会) 2017 ( 2017 ) 35 - 36 2017.07

A Study on Kansei Information Processing in a Kansei Feedback Control System

木下拓矢，満倉靖恵，山本透，Samavedham Lakshminarayanan

電気学会研究会資料. CT / 制御研究会 [編] CT-17 ( 5-17 ) 45 - 50 2017.03

Classification of human concentration in EEG signals using Hilbert Huang transform

Fathrul Azarshah Abdul Aziz, Mohd Ibrahim Shapiai, Noor Akhmad Setiawan, Yasue Mitsukura

International Journal of Simulation: Systems, Science and Technology 18 ( 1 ) 10.1 - 10.11 2017.03

The electroencephalogram (EEG) is an important technique that allows people to study brain signals. Classifying whether a person is concentrating or not is almost impossible with our naked eye. Thus, a system that could accurately distinguish these two categories is highly valued. Previously, the study to determine a mental state of concentration and non-concentration is based on the Fourier Transform. In this study, we employed Hilbert Huang Transform (HHT) to extract important features for this mental classification task. HHT consists of two step: (1) Using EMD and (2) Hilbert Transform. The EMD will decompose the signal into a collection of Intrinsic Mode Functions (IMF). Then Hilbert Transform is employed to obtain the IMF to compute the power spectrum to extract important features based on different subbands i.e. gamma, beta, alpha, theta and delta. An Extreme Learning Machine (ELM) is then used as a classifier to distinguish the two mental states. Four different sets of investigations were performed using the existing FFT and three investigated the HHT framework including single IMF, two and three IMFs. The results showed that the HHT with single IMF offers slight improvement compared to the existing FFT.

Time Series Analysis of Electroencephalogram Signal Using Simple Device for Getting EEG and Fluctuation of Hormone Levels with a Menstrual Cycle.

Eri Okuzumi, Yasue Mitsukura

REPRODUCTIVE SCIENCES (Scientific Program Schedule 64th Annual Scientific Meeting) Vol. 24 2017.03

脈波計測イヤホンの開発と応用

MITSUKURA YASUE

電気学会論文誌C 137 ( 2 ) 236 - 241 2017.02

Research paper (scientific journal)

住宅の温熱環境と居住者の MRI 検査による脳健康指標との関係分析

松本実紗，伊香賀俊治，山川義徳，村上周三，満倉靖恵，安藤真太朗，林侑江，藤田浩平

日本建築学会関東支部研究報告集 (日本建築学会) 87 ( 87 ) 157 - 160 2017.02

注視誘導のための視覚的顕著性を利用した動画再配色

MITSUKURA YASUE

電気学会論文誌C 137 ( 1 ) 144 - 151 2017.01

Research paper (scientific journal)

時代を拓く「女性力」(12) 脳波を読んで心を可視化する

田原総一朗，満倉靖恵

潮 / 潮出版社 [編] (潮出版社) ( 695 ) 174 - 181 2017.01

Prototype Verification for Co-creation of an Experiential Value Platform for E-learning Skill-Based Education Service

Satoshi Suzuki, Masato Anakubo, and Yasue Mitsukura

Journal of Serviceology (Society for Serviceology) 2 ( 1 ) 1 - 10 2017

Research paper (scientific journal), Joint Work, Accepted, ISSN 2188-5362

Journal of Serviceology, Vol.2, No.1, pp.1-11, 2017.e-ラーニングは教育サービスの効率化に有用であるが，言語化し難い身体動作を対象とし，暗黙知が介在する技能教育の場合にはうまく機能していない．その理由の一つは，サービス提供者である指導者と受容者である学習者の双方の心理変化に強く関係している「経験価値」を考慮していないためである．そこで本論文では「経験価値共創プラットフォーム」の概念を紹介し，同プラットフォームに則って，技能教育サービスを向上させるツールとして開発した心理・動作計測e-ラーニングアプリを紹介する．本アプリには，学習者の短期的な経験価値の変化点と考えられる指導タイミングを脳波推定心理状態から判定する指導支援法，並びに満足感推定アルゴリズムが実装されている．本アプリを用いて介護技能指導を模擬したe-ラーニング実験を行い，a)学習者の主観満足度，b)脳波心理推定による客観的心理量，c)技能熟達者による習得技能の評価，の3点を相互比較して，提案する手法・概念を検証した．その結果，本指導支援法を用いた場合でも学習者の技能は通常指導と同様に向上 (Welch's t test : t(38.28)=0.04, p=0.03)でき，さらに本指導法を用いた方が有意に学習者の主観ならびに客観的な満足感が向上(t(20)=3.86, p<.001, d=0.66)した．以上のことから介護技能指導の一例ではあるが，経験価値共創プラットフォームの有用性が示された．和文概要：鈴木聡(東京電機大学)

Burred Face Image Restortion using Gradient Distribution Prior Model

H. Sarkan, B. Sumali, N. Hamada, and Y. Mitsukura

Science International 29 ( 3 ) 523 - 527 2017

Research paper (scientific journal), Joint Work

Risk Assessment of Indoor Thermal Environment based on Physical and Brain Function Measurement of the Elderly

藤田浩平, 安藤真太朗, 伊香賀俊治, 山川義徳, 内田泰史, 満倉靖恵, 松本実紗, 篠原幸志朗

空気調和・衛生工学会大会　学術講演論文集 (公益社団法人空気調和・衛生工学会) 6 ( 0 ) 285 - 288 2017

音楽が画像印象に与える影響と音楽特徴量との関連性

MITSUKURA YASUE

電気学会論文誌C 136 ( 9 ) 1376 - 1385 2016.09

Research paper (scientific journal)

単極脳波信号を用いた子どもの集中状態判別

MITSUKURA YASUE

電気学会論文誌C 136 2016.08

Research paper (scientific journal), Joint Work, Accepted

Assessing the Effects of Voluntary and Involuntary Eyeblinks in Independent Components of Electroencephalogram

Suguru Kanoga, Masaki Nakanishi, and Yasue Mitsukura

Journal of Neurocomputing (Elsevier) 193 20 - 32 2016.06

Research paper (scientific journal), Accepted

Access to Document (DOI)

Assessing the Effects of Voluntary and Involuntary Eyeblinks in Independent Components of Electroencephalogram

Suguru Kanoga, Masaki Nakanishi, and Yasue Mitsukura

Neurocomputing ( 193 ) 20 - 32 2016.06

Research paper (scientific journal)

EEG Signal Processing for Real Applications

Yasue Mitsukura

Journal of Signal Processing 20 ( 1 ) 1 - 7 2016

Research paper (scientific journal), Single Work

Access to Document (DOI)

KANSEI Analyzing by EEG

満倉靖恵

電気学会誌 (一般社団法人電気学会) 136 ( 10 ) 687 - 690 2016

Iterative polynomial-based trajectory extension for mobile robot

Kuniaki Kawabata, Liang Ma, Jianru Xue, Sho Yokota, Yasue Mitsukura, Nanning Zheng

AIM 2015 - 2015 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (Institute of Electrical and Electronics Engineers Inc.) 255 - 260 2015.08

脳波を用いたテレビCM視聴者の無意識の心理変化抽出

MITSUKURA YASUE

日経広告研究所報 49 ( 4 ) 24 - 31 2015.08

Research paper (scientific journal), Joint Work, Accepted

半正定値テンソル分解による瞬きアーチファクト除去手法の提案

MITSUKURA YASUE

電気学会論文誌C 135 ( 7 ) 848 - 855 2015.07

Research paper (scientific journal), Joint Work, Accepted

Access to Document (DOI)

Automatic Alignment System in Simple Planes for Projection Mapping

Tomohiro Kaneda and Yasue Mitsukura

Journal of Signal Processing 19 ( 4 ) 151 - 154 2015.06

Research paper (scientific journal), Joint Work, Accepted

Access to Document (DOI)

耳鳴りに対する客観的検査機器の開発

神埼晶, 満倉靖恵, 高山慧, 大石直樹, 山田浩之, 稲垣洋三, 小島敬史, 若林聡子, 平架良彦, 渡部高久, 細谷誠, 小川郁

日本聴覚学会論文誌(Audiology Japan) 58 ( 1 ) 69 - 74 2015.02

Research paper (scientific journal), Joint Work, Accepted

顔特徴点検出における形状回帰モデルの適応的設計

高橋巧一, 満倉靖恵

映像情報メディア学会誌 69 ( 3 ) 126 - 132 2015.02

Research paper (scientific journal), Joint Work, Accepted

EEG-based detection of TV commercials effects

Tomomi Nomura, Yasue Mitsukura

Procedia Computer Science 60 ( 1 ) 131 - 140 2015

A daptively designed shape regression model for facial point detection

Koichi Takahashi, Yasue Mitsukura

The Journal of The Institute of Image Information and Television Engineers (The Institute of Image Information and Television Engineers) 69 ( 3 ) J126 - J132 2015

脳はウソをつかない―脳波で判るあなたの真実―

武田憲昭, 満倉靖恵

日本耳鼻咽喉科学会会報 (一般社団法人日本耳鼻咽喉科学会) 118 ( 4 ) 461 - 465 2015

Design of Two-stage Motion Artifact Reduction Filter for Canal-type Photoplethysmographic Sensor

鈴木聡, 満倉靖恵

電気学会研究会資料. PI = The papers of Technical Meeting on "Perception Information", IEE Japan, / 知覚情報研究会 [編] (一般社団法人電気学会) 2015 ( 43-47, 49-58 ) 65 - 70 2015

A Time Domain Design Method of FIR Filter considering Symmetry

鈴木聡, 満倉靖恵

電気学会研究会資料. PI = The papers of Technical Meeting on "Perception Information", IEE Japan, / 知覚情報研究会 [編] (一般社団法人電気学会) 2015 ( 59-62 ) 1 - 3 2015

Color categorization properties and color sensation on monitor for color-vision deficient subjects and normal trichromat subjects

Keiko Sato, Hironori Takimoto, Yasue Mitsukura

2015 IEEE International Conference on Systems, Man, and Cybernetics (Institute of Electrical and Electronics Engineers) 2424 - 2428 2015

Extraction of unconscious emotions while watching TV commercials

Tomomi Nomura, Yasue Mitsukura

IECON 2015 - 41st Annual Conference of the IEEE Industrial Electronics Society (Institute of Electrical and Electronics Engineers Inc.) 368 - 373 2015

Analysis of color categorization for color vision deficient subjects at different luminance levels

Keiko Sato, Hironori Takimoto, Yasue Mitsukura

IECON 2015 - 41st Annual Conference of the IEEE Industrial Electronics Society (Institute of Electrical and Electronics Engineers Inc.) 2065 - 2069 2015

Eye-blink artifact rejection using 2-step Non-negative Matrix Factorization for single-channel electroencephalographic signals

Suguru Kanoga and Yasue Mitsukura

Journal of Signal Processing (Journal of Signal Processing) 18 ( 5 ) 251 - 257 2014.09

Research paper (scientific journal), Joint Work, Accepted

Access to Document (DOI)

Emphasis of sound sources using Non-negative Matrix Factorization based on stereo localizations

Kento Yoshida and Yasue Mitsukura

Journal of Signal Processing (Journal of Signal Processing) 18 ( 4 ) 209 - 212 2014.07

Research paper (scientific journal), Joint Work, Accepted

Access to Document (DOI)

Evaluation approach for web form usability

Tomomi Nomura and Yasue Mitsukura

Journal of Signal Processing (Journal of Signal Processing) 18 ( 4 ) 193 - 196 2014.07

Research paper (scientific journal), Joint Work, Accepted

Access to Document (DOI)

生体信号のユビキタスセンシングと意味抽出および実利用化

満倉靖恵

計測自動制御学会論文誌 53 ( 7 ) 605 - 610 2014.07

Research paper (scientific journal), Single Work, Accepted

Generating Visual Flickers for Eliciting Robust Steady-State Visual Evoked Potentials at Flexible Frequencies Using Monitor Refresh Rate

Masaki Nakanishi, Yijun Wang, Yu-Te Wang, Yasue Mitsukura, and Tzyy-Ping Jung

PLoS ONE (PLoS ONE) 9 ( 6 ) e99235 2014.06

Research paper (scientific journal), Joint Work, Accepted

Access to Document (DOI)

A high-speed brain speller using steady-state visual evoked potentials

Masaki Nakanishi, Yijun Wang, Yu-Te Wang, Yasue Mitsukura, and Tzyy-Ping Jung

International Journal of Neural Systems (International Journal of Neural Systems) 24 ( 6 ) 140019 2014.06

Research paper (scientific journal), Joint Work, Accepted

Access to Document (DOI)

A high-speed brain speller using steady-state visual evoked potentials

MITSUKURA YASUE

International Journal of Neural Systems 24 ( 6 ) 140019 2014.06

Research paper (scientific journal), Joint Work

Generating visual flickers for eliciting robust steady-state visual evoked potentials at flexible frequencies using monitor refresh rate

MITSUKURA YASUE

PLoS ONE 9 ( 6 ) e99235 2014.06

Research paper (scientific journal), Joint Work

随意性瞬目を用いた電動車いすの環境認識に基づく走行制御と実験的検証

奥川恭平, 中西正樹, 満倉靖恵, 高橋正樹

日本機械学会論文集 80 ( 813 ) DR0125 2014.05

Research paper (scientific journal), Joint Work, Accepted

Access to Document (DOI)

随意性瞬目を用いた電動車いすの環境認識に基づく走行制御と実験的検証

MITSUKURA YASUE

日本機械学会論文集 80 ( 813 ) DR0125 2014.05

Research paper (scientific journal), Joint Work

Bimodal BCI Using Simultaneously NIRS and EEG

Yohei Tomita, Francois-Benoit Vialatte, G´erard Dreyfus, Yasue Mitsukura, Hovagim Bakardjian, and Andrzej Cichocki

IEEE Transactions on Biomedical Engineering (IEEE) 61 ( 4 ) 1274 - 1284 2014.01

Research paper (scientific journal), Joint Work, Accepted, ISSN 0018-9294

Although noninvasive brain-computer interfaces (BCI) based on electroencephalographic (EEG) signals have been studied increasingly over the recent decades, their performance is still limited in two important aspects. First, the difficulty of performing a reliable detection of BCI commands increases when EEG epoch length decreases, which makes high information transfer rates difficult to achieve. Second, the BCI system often misclassifies the EEG signals as commands, although the subject is not performing any task. In order to circumvent these limitations, the hemodynamic fluctuations in the brain during stimulation with steady-state visual evoked potentials (SSVEP) were measured using near-infrared spectroscopy (NIRS) simultaneously with EEG. BCI commands were estimated based on responses to a flickering checkerboard (ON-period). Furthermore, an "idle" command was generated from the signal recorded by the NIRS system when the checkerboard was not flickering (OFF-period). The joint use of EEG and NIRS was shown to improve the SSVEP classification. For 13 subjects, the relative improvement in error rates obtained by using the NIRS signal, for nine classes including the "idle" mode, ranged from 85% to 53%, when the epoch length increase from 3 to 12 s. These results were obtained from only one EEG and one NIRS channel. The proposed bimodal NIRS-EEG approach, including detection of the idle mode, may make current BCI systems faster and more reliable.

Access to Document (DOI)

Ship detection based on spatio-temporal features

Satoru Suzuki, Yasue Mitsukura, Tadasuke Furuya

2014 10th France-Japan/ 8th Europe-Asia Congress on Mecatronics (MECATRONICS2014- Tokyo) (Institute of Electrical and Electronics Engineers) 2014

Driving control of a powered wheelchair by voluntary eye blinking and with environment recognition

Kyohei Okugawa, Masaki Nakanishi, Yasue Mitsukura, Masaki Takahashi

Applied Mechanics and Materials 490 1764 - 1768 2014

研究グループ紹介：慶應義塾大学理工学部システムデザイン工学科満倉研究室

満倉靖恵

電気学会論文誌 D (産業応用部門誌) (電気学会) 134 ( 8 ) NL8_10 2014

環境情報を考慮した電動車椅子制御のための眼電位を用いた随意性瞬目検出手法

MITSUKURA YASUE

電気学会論文誌C 133 ( 10 ) 1969 - 1975 2013.10

Research paper (scientific journal), Joint Work

低解像度顔画像を対象とした顔モデルの構築

MITSUKURA YASUE

電気学会論文誌C 133 ( 6 ) 1837 - 1844 2013.09

Research paper (scientific journal), Joint Work

Construction of sound-quality-evaluating system using EEG and GMDH-type neural network

MITSUKURA YASUE

Journal of Signal Processing 17 ( 4 ) 151 - 154 2013.07

Research paper (scientific journal), Joint Work

肌色検出と並列NNによる微小な顔の検出

MITSUKURA YASUE

Journal of Information 16 ( 7 ) 4853 - 4860 2013.07

Research paper (scientific journal), Joint Work

Estimation of biological signal features indicating fiding comfort changes by trail variation

MITSUKURA YASUE

Journal of Signal Processing 17 ( 4 ) 143 - 146 2013.07

Research paper (scientific journal), Joint Work

Fast and accurate image plane tracking using 2D- and 3D-based alignment

MITSUKURA YASUE

Journal of Signal Processing 17 ( 4 ) 147 - 150 2013.07

Research paper (scientific journal), Joint Work

非乱雑環境下における進化的計算とパーティクルフィルタを用いたモデルベース位置合わせ

MITSUKURA YASUE

電気学会論文誌Ｃ 133 ( 4 ) pp. 722-729 2013.04

Research paper (conference, symposium, etc.), Joint Work, Accepted

Hemodynamic characteristics for improvement of EEG-BCI performance

Yohei Tomita, Yasue Mitsukura

2013 6th International Conference on Human System Interactions (HSI) (Institute of Electrical and Electronics Engineers Inc.) 495 - 500 2013

Mobile robot photographer

Satoru Suzuki, Yasue Mitsukura

2013 2nd IAPR Asian Conference on Pattern Recognition (Institute of Electrical and Electronics Engineers Inc.) 742 - 743 2013

Construction of the interest prediction models for nursery school child using a single-channel electroencephalograph

Suguru Kanoga, Yasue Mitsukura

2013 IEEE Conference on Systems, Process & Control (ICSPC) (Institute of Electrical and Electronics Engineers Inc.) 129 - 134 2013

A robust gesture recognition based on depth data

Lee Jaemin, Hironori Takimoto, Hitoshi Yamauchi, Akihiro Kanazawa, Yasue Mitsukura

The 19th Korea-Japan Joint Workshop on Frontiers of Computer Vision (Institute of Electrical and Electronics Engineers Inc.) 127 - 132 2013

タスクの難易度による表情変化の検出

鈴木聡, 満倉靖恵, 高橋悟

電気学会研究会資料. ST/システム研究会 [編] 2013 ( 56-69.70-79 ) 113 - 116 2013

A Rehabilitation-oriented BCI System using Theta-Power Change during Block Movement Task

Kazuhiko Sagara, Yasue Mitsukura

Transactions of Japanese Society for Medical and Biological Engineering (公益社団法人日本生体医工学会) 51 R-123 - R-123 2013

Visualization Method to Confirm Relationships among Optimal Solutions

S Ito, Y Mitsukura, T Saito, K Sato, S Fujisawa

Information: an international Interdisciplinary journal (International Information Institute) 16 ( 7 ) 4893 - 4905 2013

脳波を用いたにおいに対する嗜好抽出

MITSUKURA YASUE

AROMA RESERCH 13 ( 4 ) pp. 56-61 2012.11

Research paper (scientific journal), Joint Work, Accepted

許容色差に基づくピクセルアート自動生成

MITSUKURA YASUE

映像情報メディア学会誌 66 ( 11 ) pp. 399-406 2012.10

Research paper (conference, symposium, etc.), Joint Work, Accepted

Invisible calibration pattern for print-and-scan data hiding based on human visual perception

MITSUKURA YASUE

International Journal of Image and Graphics 12 ( 4 ) 2012.10

Research paper (conference, symposium, etc.), Joint Work, Accepted

Interindividual difference analysis in prefrontal cortex EEGs based on the relationship with personality

MITSUKURA YASUE

Journal of Signal Processing 16 ( 5 ) pp. 443-450 2012.09

Research paper (conference, symposium, etc.), Joint Work, Accepted

Facial impression recognition based on facial texture information

MITSUKURA YASUE

Journal of Signal Processing 16 ( 5 ) pp. 419-425 2012.09

Research paper (conference, symposium, etc.), Joint Work, Accepted

Face detection on AIBO by using the RBF and particle filtering

MITSUKURA YASUE

INFORMATION-An International Interdisciplinary Journal 15 ( 8 ) pp. 3411-3422 2012.08

Research paper (conference, symposium, etc.), Joint Work, Accepted

Fast algorithm for head pose estimation using a monocular system

MITSUKURA YASUE

Proc. of International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC 2012), D-M2-01 2012.07

Research paper (conference, symposium, etc.), Joint Work, Accepted

Optimal sensor selection for single-trial P300 brain-computer interface

MITSUKURA YASUE

Journal of Signal Processing, 16 ( 4 ) pp. 311-314 2012.07

Research paper (conference, symposium, etc.), Joint Work, Accepted

音楽が画像の印象に音楽が画像の印象に及ぼす影響および印象と物理的特性との関連性評価

MITSUKURA YASUE

画像ラボ 23 ( 6 ) pp. 51-61 2012.06

Research paper (conference, symposium, etc.), Joint Work, Accepted

Face detection using the near-infrared camera and evolutionary algorithms

MITSUKURA YASUE

INFORMATION-An International Interdisciplinary Journal 15 ( 4 ) pp. 1579-1588 2012.04

Research paper (conference, symposium, etc.), Joint Work, Accepted

“Evolutionary Structure Optimization of Hierarchical Neural Network for Image Recognition”

MITSUKURA YASUE

Electronics and Communications 95 ( 3 ) 28-36 2012.03

Research paper (conference, symposium, etc.), Joint Work, Accepted

Proposal of the Extraction Method of Ride Comfort by EEG

MITSUKURA YASUE

Journal of INFORMATION 15 ( 2 ) 939-948 2012.02

Research paper (scientific journal), Joint Work, Accepted

ボクシング・ストレートパンチの動作解析

MITSUKURA YASUE

理学療法科学 27 ( 3 ) pp. 341-344, 2012

Research paper (conference, symposium, etc.), Joint Work, Accepted

Color Feature Extraction of Regions by Means of GA for Scenery Image Retrieval

MITSUKURA YASUE

ECJ0287 710 ( 129 ) 2011.12

Research paper (scientific journal), Joint Work, Accepted

Evaluation of GPU-based Empirical Mode Decomposition for Off-line Analysis

MITSUKURA YASUE

Jounal of IEICE Vol.E94-D,No.12, 2011.12

Research paper (conference, symposium, etc.), Joint Work, Accepted

Horn Extraction in Noisy Environments by Empirical Mode Decomposition

MITSUKURA YASUE

Journal of Information 2011.09

Research paper (conference, symposium, etc.), Joint Work, Accepted

音楽が画像の印象に及ぼす影響と印象と物理的特性との関連に関する一考察

MITSUKURA YASUE

電気学会論文誌C 131 ( 8 ) pp1451-1458 2011.08

Research paper (scientific journal), Joint Work, Accepted

Horn extraction in noisy environments by empirical mode decomposition

MITSUKURA YASUE

INFORMATION 14 ( 8 ) 2759-2766 2011.08

Research paper (scientific journal), Joint Work, Accepted

Separation of mixed audio signals with time frequency masking using bivatiate empirical mode decomposition

MITSUKURA YASUE

Journal of Signal Processing 15 ( 4 ) 2011.07

Research paper (scientific journal), Joint Work, Accepted

Detection of driver dozing with high temporal resolution using instantaneous EEG features

MITSUKURA YASUE

Journal of Signal Processing 15 ( 4 ) 303-309 2011.07

Research paper (scientific journal), Joint Work, Accepted

Study on Model for Predicting Intra-Individual Difference in Prefrontal Cortex Electroencephalogram Variability and its Evaluation

MITSUKURA YASUE

Journal of Electronics and Communications in Japan 94 ( 5 ) 9 - 16 2011.05

Research paper (scientific journal), Joint Work, Accepted

画像認識のための階層型ニューラルネットワークの進化的構造最適化

MITSUKURA YASUE

電気学会論文誌C分冊，vol.131, No.5, pp.939-949 131 ( 5 ) 939-949 2011.05

Research paper (conference, symposium, etc.), Joint Work, Accepted

Separation of Mixed Audio Signals with Time Frequency Masking using Bivariate Empirical Mode Decomposition

MITSUKURA YASUE

Journal of Signal Processing vo.5, No.4, pp.271-274 5 ( 4 ) 271-274 2011.05

Research paper (conference, symposium, etc.), Joint Work, Accepted

遺伝的最適化手法による画像データマイニング-実数値GAを用いたモデルベース位置合わせ

MITSUKURA YASUE

精密工学会誌vol.77, No.5, pp.461-464 77 ( 5 ) 461-464 2011.05

Research paper (conference, symposium, etc.), Joint Work, Accepted

Music compression by using the EMD and the GA

MITSUKURA YASUE

Journal of Information, 601-607 2011.05

Research paper (conference, symposium, etc.), Single Work, Accepted

Factor analysis for EEG response to ride quality

MITSUKURA YASUE

Journal of Information, pp.593-600, 2011 593-600 2011.05

Research paper (conference, symposium, etc.), Joint Work, Accepted

Detection of Driver Dozing with high temporal resolution using instantaneous EEG features

MITSUKURA YASUE

Journal of Signal Processing vo.5, No.4, pp.303-306 5 ( 4 ) 303-306 2011.05

Research paper (conference, symposium, etc.), Joint Work, Accepted

音楽が画像の印象に及ぼす影響と印象と物理的特性との関連に関する一考察

MITSUKURA YASUE

電気学会論文誌C，Vol.131，No.8，pp1451-1458 131 ( 8 ) 1451-1458 2011.05

Research paper (conference, symposium, etc.), Single Work, Accepted

Study on Model for Predicting Intra-Individual Difference in Prefrontal Cortex Electroencephalogram Variability and its Evaluation

MITSUKURA YASUE

WILEY Transaction, Electronics and Communications in Japan, Vol. 94, No.5, pp. 9 - 16, 2011 94 ( 5 ) 9-16 2011.05

Research paper (conference, symposium, etc.), Joint Work, Accepted

色相配色パターンを用いた嗜好反映配色支援システム

MITSUKURA YASUE

電学論Ｄ, Vol. 131, No. 5,pp.685-691 131 ( 5 ) 685-691 2011.05

Research paper (conference, symposium, etc.), Joint Work, Accepted

画像認識のための階層型ニューラルネットワークの進化的構造最適化

MITSUKURA YASUE

電気学会論文誌C 131 ( 5 ) pp. 983-989 2011.05

Research paper (scientific journal), Joint Work, Accepted

A Method of Obtaining Sense of Touch by Using EEG

MITSUKURA YASUE

Journal of Information　pp.621-632 3月号 621-632 2011.03

Research paper (conference, symposium, etc.), Joint Work, Accepted

A Method of Obtaining Sence of Touch by Using the EEG

MITSUKURA YASUE

Journal of INFORMATION 14 ( 2 ) 621-632 2011.02

Research paper (scientific journal), Joint Work, Accepted

Factor Analysis for EEG Response to Ride Quality

MITSUKURA YASUE

Journal of INFORMATION 14 ( 2 ) 593-600 2011.02

Research paper (scientific journal), Joint Work, Accepted

Music Compression by Using the EMD abd the GA

MITSUKURA YASUE

Journal of INFORMATION 14 ( 2 ) 601-608 2011.02

Research paper (scientific journal), Joint Work, Accepted

Visualization on pareto solutions in multi-objective optimization

Shin Ichi Ito, Yasue Mitsukura, Takafumi Saito, Katsuya Sato, Shoichiro Fujisawa

Proceedings of the IASTED International Conference on Artificial Intelligence and Soft Computing, ASC 2011 267 - 272 2011

Overview of the symbio-information processing project of TUAT

Hironori Nakajo, Kaori Fujinami, Kinya Fujita, Keiichi Kaneko, Konosuke Kawashima, Toshiyuki Kondo

2011 Eighth International Joint Conference on Computer Science and Software Engineering (Institute of Electrical and Electronics Engineers Inc.) 2011

AIBO におけるRBF ネットワークを用いた顔検出

MITSUKURA YASUE

電気学会論文誌C Vol.130, No.11 pp.2031-2038 130 ( 11 ) 2031-2038 2010.11

Research paper (conference, symposium, etc.), Joint Work, Accepted

Discrimination of the Sleeping EEG by the Adaptive Rhythmic Component Extraction

Yohei Tomita, Hironobu Fukai, Yasue Mitsukura, Toshihisa Tanaka, Jianting Cao

Advances in Cognitive Neurodynamics (II) 2010.10

人の視知覚特性に基づく視認困難なキャリブレーションパターン

MITSUKURA YASUE

電気学会論文誌C, Vol.130-C, No.8, pp.1440-1447 130 ( 8 ) 1440-1447 2010.08

Research paper (conference, symposium, etc.), Joint Work, Accepted

Model-Based Alignment System for Default Setting in Mixed Reality

MITSUKURA YASUE

Journal of Signal Processing, Vol. 14, No. 4, pp. 285-288, 14 ( 4 ) 285-288 2010.06

Research paper (conference, symposium, etc.), Joint Work, Accepted

Hand　Posture Recognition Robust for Posture Changing in Complex Background

MITSUKURA YASUE

Journal of Signal Processing，Vol. 14, No. 6, pp.483-490, (2010) 14 ( 6 ) 483-490 2010.06

Research paper (conference, symposium, etc.), Joint Work, Accepted

個人特性を考慮したGAによる色彩イメージ分析法の提案

MITSUKURA YASUE

感性工学会論文誌，vol.9，no.2, pp.411-418 9 ( 2 ) 411-418 2010.02

Research paper (conference, symposium, etc.), Joint Work, Accepted

A Human Tracking System on the Robot with Face Detection

MITSUKURA YASUE

Journal of Information, Vol.13, No.1,　pp.137-143，January 13 ( 1 ) 137-143 2010.01

Research paper (conference, symposium, etc.), Single Work, Accepted

Parallelizing Hilbert-Huang transform on a GPU

Pulung Waskito, Shinobu Miwa, Yasue Mitsukura, Hironori Nakajo

2010 first international conference on networking and computing (Institute of Electrical and Electronics Engineers Inc.) 184 - 190 2010.01

Association between ego scores and individual characteristics in EEG analysis: Basic study on individual brain activity

Shin-ichi Ito, Yasue Mitsukura, Katsuya Sato, Shoichiro Fujisawa, Minoru Fukumi

19th International Symposium in Robot and Human Interactive Communication (Institute of Electrical and Electronics Engineers Inc.) 2010

Classification and analysis of 2-color impression focusing on individual differences

Keiko Sato, Yasue Mitsukura

2010 11th IEEE International Workshop on Advanced Motion Control (AMC) (Institute of Electrical and Electronics Engineers Inc.) 246 - 251 2010

Facial expression estimation using simplified head model based on particle filtering

Koichi Takahashi, Hironobu Fukai, Yasue Mitsukura

2010 11th IEEE International Workshop on Advanced Motion Control (AMC) (Institute of Electrical and Electronics Engineers Inc.) 173 - 178 2010

The classification system with the evolutionary computation

Yohei Tomita, Satoru Suzuki, Hironobu Fukai, Rajiv Khosla, Yasue Mitsukura

2010 11th IEEE International Workshop on Advanced Motion Control (AMC) (Institute of Electrical and Electronics Engineers Inc.) 750 - 755 2010

Invisible calibration pattern based on human visual perception

Hironori Takimoto, Seiki Yoshimori, Yasue Mitsukura, Minoru Fukumi

2010 11th IEEE International Workshop on Advanced Motion Control (AMC) (Institute of Electrical and Electronics Engineers Inc.) 159 - 163 2010

Age and gender estimation by using facial image

Hironobu Fukai, Hironori Takimoto, Yasue Mitsukura, Minoru Fukumi

2010 11th IEEE International Workshop on Advanced Motion Control (AMC) (Institute of Electrical and Electronics Engineers Inc.) 179 - 184 2010

A proposal of feature extraction for impression analysis

Seiki Yoshimori, Hironori Takimoto, Yasue Mitsukura, Minoru Fukumi

2010 11th IEEE International Workshop on Advanced Motion Control (AMC) (Institute of Electrical and Electronics Engineers Inc.) 170 - 172 2010

Face detection for AIBO using RBF network and particle filter

Kohki Abiko, Hironobu Fukai, Yasue Mitsukura, Minoru Fukumi, Masahiro Tanaka

Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications 2010 283 - 288 2010

Can We Detect the Preference by the EEG?

Yasue Mitsukura

The Journal of The Institute of Electrical Engineers of Japan (The Institute of Electrical Engineers of Japan) 130 ( 6 ) 352 - 355 2010

Study on relationship between personality and individual characteristic of EEG for personalized BCI

Shin-ichi Ito, Yasue Mitsukura, Katsuya Sato, Shoichiro Fujisawa, Minoru Fukumi

2010 IEEE Region 8 International Conference on Computational Technologies in Electrical and Electronics Engineering (SIBIRCON) (Institute of Electrical and Electronics Engineers Inc.) 2010

Accelerating Hilbert-Huang Transform using GPU

Pulung Waskito, Shinobu Miwa, Yasue Mitsukura, Hironori Nakajo

情報処理学会研究報告.[ハイパフォーマンスコンピューティング] 126 (情報処理学会) 2010

Study on association between user's personality and individual characteristic of left prefrontal pole EEG activity

Shin-Ichi Ito, Yasue Mitsukura, Katsuya Sato, Shoichiro Fujisawa, Minoru Fukumi

2010 Sixth International Conference on Natural Computation (Institute of Electrical and Electronics Engineers Inc.) 4 2163 - 2166 2010

Invisible calibration pattern based on human visual perception characteristics

Hironori Takimoto, Seiki Yoshimori, Yasue Mitsukura, Minoru Fukumi

2010 20th International Conference on Pattern Recognition (Institute of Electrical and Electronics Engineers Inc.) 4210 - 4213 2010

Age Estimation using Kernel Regression Analysis

Hironobu Fukai, Hironori Takimoto, Yasue Mitsukura, Minoru Fukumi

IEICE Proceedings Series 44 (B1L-B4) (The Institute of Electronics, Information and Communication Engineers) 221 - 224 2010

An Embedding and DetectionMethod of Invisible Calibration Pattern for Print-Type Data Hiding

Hironori Takimoto, Seiki Yoshimori, Yasue Mitsukura, Minoru Fukumi

IEICE Proceeding Series 44 (B1L-B3) (The Institute of Electronics, Information and Communication Engineers) 217 - 220 2010

A Design of Apparent Age Estimation System by the Empirical Mode Decomposition

MITSUKURA YASUE

Journal of CircuitsSystems, and Computers, Vol. 18, No. 8, pp. 1481-1492, 18 ( 8 ) 1481-1492 2009.08

Research paper (conference, symposium, etc.), Joint Work, Accepted

Aligning Real Space with the 2D Model on See-through HMD Using GA with Interactive Handling

MITSUKURA YASUE

Journal of Signal Processing 13/4, pp.347-350 347-350 2009.07

Research paper (conference, symposium, etc.), Joint Work, Accepted

Estimation of Apparent Age from Face Image based on Age Perception

MITSUKURA YASUE

Journal of INFORMATION, Vol.12, No.6, pp.1269-1278 12 ( 6 ) 1269-1278 2009.06

Research paper (conference, symposium, etc.), Joint Work, Accepted

風景画像検索のための遺伝的アルゴリズムを用いた画像領域の色特徴量取得

MITSUKURA YASUE

電気学会論文誌C部門 129-C/4 pp.710-719 129 ( 4 ) 710-719 2009.04

Research paper (conference, symposium, etc.), Single Work, Accepted

The Music Analysis Method Based on Melody Analysis

MITSUKURA YASUE

Journal of INFORMATION, Vol.12, No.3, pp.641-654 12 ( 3 ) 641-654 2009.03

Research paper (conference, symposium, etc.), Single Work, Accepted

遺伝的アルゴリズムによるCT画像からの肝腫瘍び抽出

MITSUKURA YASUE

Jounal of Signal Processing, Vol.13, No.1, pp.67-76 13 ( 1 ) 67-76 2009.01

Research paper (conference, symposium, etc.), Joint Work, Accepted

FeatureAnalysis for Age Estimation Using the GA and the SOM

MITSUKURA YASUE

Journal of INFORMATION,　Vol.12, No. 1, pp.127-136 12 ( 1 ) 127-136 2009.01

Research paper (conference, symposium, etc.), Joint Work, Accepted

Extraction of EEG Characteristics While Listening to Music and Its Evaluation Based on a Latency Structure Model with　Individual Characteristics

MITSUKURA YASUE

WILEYTransaction, Electrical Engineering,Vol.92, No.1, pp.9-17 92 ( 1 ) 9-17 2009.01

Research paper (conference, symposium, etc.), Joint Work, Accepted

脳波の個人特性推定モデルとその評価方法に関する一考察

MITSUKURA YASUE

電気学会論文誌C Vol.129, No.1,　pp.17-24 129 ( 1 ) 17-24 2009.01

Research paper (conference, symposium, etc.), Joint Work, Accepted

Fast Incremental　Algorithm of Simple Principal Component Analysis

MITSUKURA YASUE

IEEJ Trans. EIS, Vol.129, No.1, pp.112-117 129 ( 1 ) 112-117 2009.01

Research paper (conference, symposium, etc.), Joint Work, Accepted

Fast Approximate Incremental Learning Algorithm Based on Simple-FLDA

MITSUKURA YASUE

Jounal of Signal Processing pp.515-523 515-523 2009.01

Research paper (conference, symposium, etc.), Joint Work, Accepted

EEG Data Analysis for Coma and Quasi-Brain-Death Patients

MITSUKURA YASUE

Jounal of Signal Processing, 11/6, pp.481-487 481-487 2008.11

Research paper (conference, symposium, etc.), Joint Work, Accepted

Face Detection from Near-Infrared Camera Images for Driver Dozing

MITSUKURA YASUE

Jounal of INFORMATION 11/6, pp.805-810 11 ( 6 ) 805-810 2008.11

Research paper (conference, symposium, etc.), Single Work, Accepted

Objective Psychological Evaluation Using the EEG

MITSUKURA YASUE

Journal of Signal Processing 12/6, pp.465-472 465-472 2008.11

Research paper (conference, symposium, etc.), Joint Work, Accepted

Apparent－Age　Feature Extraction by Empirical Mode Decomposition

MITSUKURA YASUE

Jounal of Signal Processing,Vol12，No.6，pp.457-463 112 ( 6 ) 457-463 2008.11

Research paper (conference, symposium, etc.), Joint Work, Accepted

The Detection System of Cardiac Wall Motion Abnormality by an Asynergy Using the Neural Network

MITSUKURA YASUE

Journal of Information 10/10, pp.881-887 10 ( 10 ) 881-887 2008.10

Research paper (conference, symposium, etc.), Single Work, Accepted

A Robust Gender and Age Estimation under Varying Facial Pose

MITSUKURA YASUE

Journal of Electronics and Communications in Japan, Vol. 91, No. 7, pp.32-40, 91 ( 7 ) 32-40 2008.07

Research paper (conference, symposium, etc.), Joint Work, Accepted

Proposal of Classification Method of Color Impression Considering the Individual Characteristics

MITSUKURA YASUE

Jounal of Information，vol.11，no.3，pp.293-302 11 ( 3 ) 293-302 2008.05

Research paper (conference, symposium, etc.), Joint Work, Accepted

カラー劣化画像復元のための適応的粒状抑制の一手法

MITSUKURA YASUE

電気学会論文誌Ｃ，Vol. 127, No.12 pp.2093-2099 127 ( 12 ) 2093-2099 2007.12

Research paper (conference, symposium, etc.), Joint Work, Accepted

姿勢変動に影響されない顔画像からの性別年齢推定

MITSUKURA YASUE

電気学会論文誌Ｃ，Vol.127, No.7 pp.1022-1029 127 ( 7 ) 1022-1029 2007.07

Research paper (conference, symposium, etc.), Joint Work, Accepted

個人特性を考慮した潜在構造モデルによる音楽聴取時の脳波特徴抽出法と客観的評価方法

MITSUKURA YASUE

電気学会論文誌C，Vol.127, No.6 pp.874—881 127 ( 6 ) 874-881 2007.06

Research paper (conference, symposium, etc.), Joint Work, Accepted

Detection Method of Music to Mach User’s Mood in Prefrontal Cortex EEG Activity

MITSUKURA YASUE

Journal of Information 10巻6号pp. 889-901 10 ( 6 ) 889-901 2007.06

Research paper (conference, symposium, etc.), Single Work, Accepted

重判別分析と主成分分析によるハイブリッドEMG認識システム

MITSUKURA YASUE

システム制御情報学会論文誌， pp.51-59 2007.02

Research paper (conference, symposium, etc.), Joint Work, Accepted

遺伝的関数同定による特徴ベクトルを用いたＥＭＧ信号認識システム

MITSUKURA YASUE

信号処理学会論文誌（JSP），Vol.9, No.3, pp.243-254 9 ( 3 ) 243-254 2005.05

Research paper (conference, symposium, etc.), Joint Work, Accepted

自己組織型ニューラルネットワークによるSAR画像での流氷識別

MITSUKURA YASUE

電気学会論文誌, Vol.125-C, No.5, pp.800-806 125 ( 5 ) 800-806 2005.05

Research paper (conference, symposium, etc.), Joint Work, Accepted

閾値関数を用いたナンバープレート検出手法

MITSUKURA YASUE

映像情報メディア学会誌，Vol.59，No.1, pp.115-122 59 ( 1 ) 115-122 2005.01

Research paper (conference, symposium, etc.), Joint Work, Accepted

二次関数群当てはめによる定量的な顎輪郭抽出

MITSUKURA YASUE

日本顔学会論文誌 pp.34-39 2004.12

Research paper (conference, symposium, etc.), Joint Work, Accepted

脳波の個人特性を考慮した脳波分析法の提案

MITSUKURA YASUE

電気学会論文誌, Vol.124-C,No.6,pp.874-881 124 ( 6 ) 874-881 2004.06

Research paper (conference, symposium, etc.), Joint Work, Accepted

形状に不変な遺伝的口唇領域抽出法

MITSUKURA YASUE

電気学会論文誌, Vol.124-C, No.1, pp.128-137 124 ( 1 ) 128-137 2004.01

Research paper (conference, symposium, etc.), Joint Work, Accepted

HUMAN-CENTERED MULTIAGENT DISTRIBUTED ARCHITECTURE FOR KNOWLEDGE ENGINEERING OF IMAGE PROCESSING APPLICATIONS

MITSUKURA YASUE

International Journal of Pattern Recognition and Artificial Intelligence, Vol. 18, No. 1 33-62 18 ( 1 ) 33-62 2004.01

Research paper (conference, symposium, etc.), Joint Work, Accepted

SPCAとRGAを用いた個人認証のための特徴抽出法

MITSUKURA YASUE

信号処理学会誌 pp.12-17 12-17 2003.06

Research paper (conference, symposium, etc.), Joint Work, Accepted

実数値GAを用いたデータマイニングによるニューロ降雨予測システムの設計

MITSUKURA YASUE

電気学会論文誌, Vol.123-C, No.4, pp.817-822 123 ( 4 ) 817-822 2002.06

Research paper (conference, symposium, etc.), Joint Work, Accepted

ニューラルネットワークへの知識の埋込とルール抽出

MITSUKURA YASUE

高速信号処理応用技術学会論文誌（電子技術），Vol.12，pp.13-18 12 13-18 2001.12

Research paper (conference, symposium, etc.), Joint Work, Accepted

光の状態を考慮した閾値の遺伝的決定法による高速な顔領域の検出法

MITSUKURA YASUE

高速信号処理応用技術学会論文誌（電子技術），Vol.12，pp.19-23 12 19-23 2001.12

Research paper (conference, symposium, etc.), Joint Work, Accepted

An Evolutionary　Approach to Rule Generation from Trained Neural Pattern Recognition Systems

MITSUKURA YASUE

Journal of SYSTEMS RESEARCH and INFORMATION SYSTEMS, Vol.10, pp.71-88 10 71-88 2001.10

Research paper (conference, symposium, etc.), Joint Work, Accepted

ウィルス感染型遺伝的アルゴリズムによるユニバーサル・ルール生成の一方法

MITSUKURA YASUE

電気学会論文誌, Vol. 121-C, No.1, pp.212—217 121 ( 1 ) 212-217 2000.12

Research paper (conference, symposium, etc.), Joint Work, Accepted

唇検出ニューラルネットワークと肌色識別ニューラルネットワークによるカラー画像中からの顔領域の検索法

MITSUKURA YASUE

電気学会論文誌, Vol. 121-C, No.1, pp.112—116 121 ( 1 ) 112-116 2000.12

Research paper (conference, symposium, etc.), Joint Work, Accepted

遺伝的前処理を行なうLVQ を用いた霧発生の予測法

MITSUKURA YASUE

電気学会論文誌, Vol. 121-C, No.1, pp.212--217 121 ( 1 ) 212-217 2000.12

Research paper (conference, symposium, etc.), Joint Work, Accepted

ＧＡとＳＡを併用したニューラルネットワークの設計と硬貨識別への応用

MITSUKURA YASUE

計測自動制御学会論文集，Vol.36，No.11，pp.1003-1008 36 ( 11 ) 1003-1008 2000.11

Research paper (conference, symposium, etc.), Joint Work, Accepted

GAを併用したセルフチューニングPID制御系の一設計

MITSUKURA YASUE

計測自動制御学会論文集，Vol.36，No.1，pp.75-81 36 ( 1 ) 75-81 2000.05

Research paper (conference, symposium, etc.), Joint Work, Accepted

Genetic Tuning Scheme of PID Parameters　for First-Order Systems with Large Dead Times

MITSUKURA YASUE

IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, Vol.83, No.4, pp.740-746 83 ( 4 ) 740-746 2000.05

Research paper (conference, symposium, etc.), Joint Work, Accepted

遺伝的アルゴリズムを用いたPID制御器の一設計

MITSUKURA YASUE

計測自動制御学会論文集,Vol.35,No.4,pp.531-537 35 ( 4 ) 531-537 1999.04

Research paper (conference, symposium, etc.), Joint Work, Accepted

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