Details of a Researcher - Mitsukura, Yasue

Papers - Mitsukura, Yasue

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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

<p>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.</p>

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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

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