研究者詳細 - 藤原　幸一

論文 - 藤原　幸一

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Heat Illness Detection with Heart Rate Variability Analysis and Anomaly Detection Algorithm 査読有り

K. Fujiwara, K. Ota, S. Saeda, T. Yamakawa, T. Kubo, A. Yamamoto, Y. Maruno, M. Kano

Biomedical Signal Processing and Control 2023年9月

Driver Drowsiness Detection Using R-R Interval of Electrocardiogram and Self-Attention Autoencoder 査読有り

Koichi Fujiwara, Hiroki Iwamoto, Kentaro Hori, Manabu Kano

IEEE Transactions on Intelligent Vehicles 頁： 1 - 10 2023年8月

Auditory Feedback of False Heart Rate for Video Game Experience Improvement 査読有り国際誌

Ogawa, S; Fujiwara, K; Kano, M

IEEE TRANSACTIONS ON AFFECTIVE COMPUTING 14 巻 ( 1 ) 頁： 487 - 497 2023年1月

生体信号を活用した医療AI～てんかん発作予知と睡眠紡錘波検出査読有り

藤原幸一

生体医工学 Annual61 巻 ( Abstract ) 頁： 137_2 - 137_2 2023年

記述言語：日本語掲載種別：研究論文（学術雑誌）出版者・発行元：公益社団法人日本生体医工学会

<p>医療・ヘルスケア分野での機械学習・AI技術の活用は，他の分野と同様，深層学習の登場を契機に進展してきた．しかし，実際にはCT画像やMRI画像などに対する画像診断の事例が大半であり，それに比して心電図や脳波など生体信号への活用は取り残されてきた感がある．これには，(1) 対象信号の時空間パターンが複雑・非定常的で，対象現象の表現が特定困難であること，(2) サンプルとして取得できる生体信号の量が限定的であること，(3) 一定量の計測データが得られたとしても，しばしば対象とする現象の発生頻度が低く，強い不均衡となること，(4) 様々なアーチファクトが混入すること，(5) 明確なアーチファクトを取り除けた場合においてでもなお残存するノイズによって生体信号の信号対雑音比は高くないこと，(6) 入力となる生体信号がしばしば高次元となること，(7) 個人差が強く対象者間での汎化が難しいこと，など機械学習における様々な課題が凝縮されたようなケースとなっていることによると考えられる．このような状況に対して，我々はウェアラブルセンサや専用アプリを開発し，データ取得の自動化・効率化を目指すなど，独自の取り組みを通じて生体信号を活用した医療AI開発の垣根を下げる努力をしてきた．本講演では，我々まてんかん発作予知AIおよび睡眠紡錘波検出AI開発の実例を通じて，生体信号を活用した医療AI開発について紹介する．</p>

DOI： 10.11239/jsmbe.annual61.137_2

CiNii Research

咽喉頭癌に対するロボット支援下手術について

佐野大佑, 清水顕, 楯谷一郎, 藤原和典, 岸本曜, 丸尾貴志, 藤本保志, 塚原清彰, 森照茂, 加藤久幸, 折舘伸彦

日本気管食道科学会会報 73 巻 ( 2 ) 頁： 98 - 101 2022年4月

R-R interval-based sleep apnea screening by a recurrent neural network in a large clinical polysomnography dataset 査読有り

Iwasaki, A; Fujiwara, K; Nakayama, C; Sumi, Y; Kano, M; Nagamoto, T; Kadotani, H

CLINICAL NEUROPHYSIOLOGY 139 巻頁： 80 - 89 2022年4月

Medical checkup data analysis method based on LiNGAM and its application to nonalcoholic fatty liver disease 査読有り国際誌

Uchida, T; Fujiwara, K; Nishioji, K; Kobayashi, M; Kano, M; Seko, Y; Yamaguchi, K; Itoh, Y; Kadotani, H

ARTIFICIAL INTELLIGENCE IN MEDICINE 128 巻頁： 102310 - 102310 2022年4月

Process Fault Diagnosis Method Based on MSPC and LiNGAM and its Application to Tennessee Eastman Process 査読有り

Uchida, Y; Fujiwara, K; Saito, T; Osaka, T

IFAC PAPERSONLINE 55 巻 ( 2 ) 頁： 384 - 389 2022年

埋込サイボーグ技術の社会実装に係る技術・社会的課題査読有り

藤原幸一, 藤田卓仙, 山川俊貴, 久保孝富, 日永田智絵, 桐山瑶子, 川島浩誉, 川治徹真, 野田隼人, 田畑淳

人工知能 36 巻 ( 6 ) 頁： 674 - 683 2021年11月

Prediction of GABA receptor antagonist-induced convulsion in cynomolgus monkeys by combining machine learning and heart rate variability analysis 査読有り

Nagata, S; Fujiwara, K; Kuga, K; Ozaki, H

JOURNAL OF PHARMACOLOGICAL AND TOXICOLOGICAL METHODS 112 巻頁： 107127 2021年11月

Screening of sleep apnea based on heart rate variability and long short-term memory 査読有り国際誌

Iwasaki, A; Nakayama, C; Fujiwara, K; Sumi, Y; Matsuo, M; Kano, M; Kadotani, H

SLEEP AND BREATHING 25 巻 ( 4 ) 頁： 1821 - 1829 2021年1月

Preliminary Study Using Autoencoder for Early Detection of Heat Illness from Heart Rate Variability Obtained with Wearable Device 査読有り

Inatsu, N; Noguchi, A; Ota, K; Fujiwara, K; Kubo, T; Yamakawa, T

2021 ASIA-PACIFIC SIGNAL AND INFORMATION PROCESSING ASSOCIATION ANNUAL SUMMIT AND CONFERENCE (APSIPA ASC) 頁： 1348 - 1352 2021年

Real-driving-implementable drowsy driving detection method using heart rate variability based on long short-term memory and autoencoder 査読有り

Fujiwara, K; Hori, K; Fujiwara, K; Kano, M

IFAC PAPERSONLINE 54 巻 ( 15 ) 頁： 526 - 531 2021年

Resting Heart Rate Variability Is Associated With Subsequent Orthostatic Hypotension: Comparison Between Healthy Older People and Patients With Rapid Eye Movement Sleep Behavior Disorder 査読有り

Sumi, Y; Nakayama, C; Kadotani, H; Matsuo, M; Ozeki, Y; Kinoshita, T; Goto, Y; Kano, M; Yamakawa, T; Hasegawa-Ohira, M; Ogawa, K; Fujiwara, K

FRONTIERS IN NEUROLOGY 11 巻頁： 567984 2020年11月

Optimal Design of Neuroprotective Focal Brain Cooling Device Using Surrogate Model Approach 査読有り国際誌

Abe, T; Fujiwara, K; Inoue, T; Kubo, T; Yamakawa, T; Nomura, S; Suzuki, M; Kano, M

IEEE TRANSACTIONS ON MEDICAL ROBOTICS AND BIONICS 2 巻 ( 4 ) 頁： 681 - 691 2020年11月

Over- and Under-sampling Approach for Extremely Imbalanced and Small Minority Data Problem in Health Record Analysis 招待有り査読有り国際誌

Koichi Fujiwara, Yukun Huang, Kentaro Hori, Kenichi Nishioji, Masao Kobayashi, Mai Kamaguchi, Manabu Kano

Frontiers in Public Health 8 巻頁： 178 2020年5月

担当区分：筆頭著者,　責任著者記述言語：英語掲載種別：研究論文（学術雑誌）

© Copyright © 2020 Fujiwara, Huang, Hori, Nishioji, Kobayashi, Kamaguchi and Kano. A considerable amount of health record (HR) data has been stored due to recent advances in the digitalization of medical systems. However, it is not always easy to analyze HR data, particularly when the number of persons with a target disease is too small in comparison with the population. This situation is called the imbalanced data problem. Over-sampling and under-sampling are two approaches for redressing an imbalance between minority and majority examples, which can be combined into ensemble algorithms. However, these approaches do not function when the absolute number of minority examples is small, which is called the extremely imbalanced and small minority (EISM) data problem. The present work proposes a new algorithm called boosting combined with heuristic under-sampling and distribution-based sampling (HUSDOS-Boost) to solve the EISM data problem. To make an artificially balanced dataset from the original imbalanced datasets, HUSDOS-Boost uses both under-sampling and over-sampling to eliminate redundant majority examples based on prior boosting results and to generate artificial minority examples by following the minority class distribution. The performance and characteristics of HUSDOS-Boost were evaluated through application to eight imbalanced datasets. In addition, the algorithm was applied to original clinical HR data to detect patients with stomach cancer. These results showed that HUSDOS-Boost outperformed current imbalanced data handling methods, particularly when the data are EISM. Thus, the proposed HUSDOS-Boost is a useful methodology of HR data analysis.

Scopus

Evaluating Mental State of Drivers in Automated Driving Using Heart Rate Variability towards Feasible Request-to-Intervene 査読有り

Garcia, FC; Kubo, T; Chang, CL; Hisada, M; Bando, T; Kato, M; Mori, M; Takenaka, K; Yamakawa, T; Fujiwara, K; Ikeda, K

2020 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC) 頁： 3454 - 3459 2020年

Heart Rate Variability-Based Driver Drowsiness Detection and Its Validation With EEG 査読有り国際誌

Fujiwara, K; Abe, E; Kamata, K; Nakayama, C; Suzuki, Y; Yamakawa, T; Hiraoka, T; Kano, M; Sumi, Y; Masuda, F; Matsuo, M; Kadotani, H

IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING 66 巻 ( 6 ) 頁： 1769 - 1778 2019年6月

Epileptic Seizure Suppression by Focal Brain Cooling with Recirculating Coolant Cooling System: Modeling and Simulation 査読有り

IEEE Transactions on Neural Systems & Rehabilitation Engineering 27 巻 ( 2 ) 頁： 162-171 2019年2月

Epileptic Seizure Suppression by Focal Brain Cooling With Recirculating Coolant Cooling System: Modeling and Simulation 査読有り

Hata, K; Fujiwara, K; Inoue, T; Abe, T; Kubo, T; Yamakawa, T; Nomura, S; Imoto, H; Suzuki, M; Kano, M

IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING 27 巻 ( 2 ) 頁： 162 - 171 2019年2月

Ischemic Stroke Detection by Analyzing Heart Rate Variability in Rat Middle Cerebral Artery Occlusion Model 査読有り国際誌

Kodama, T; Kamata, K; Fujiwara, K; Kano, M; Yamakawa, T; Yuki, I; Murayama, Y

IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING 26 巻 ( 6 ) 頁： 1152 - 1160 2018年6月

Nearest Correlation-Based Input Variable Weighting for Soft-Sensor Design 査読有り

Fujiwara, K; Kano, M

FRONTIERS IN CHEMISTRY 6 巻 2018年5月

Analysis of VNS Effect on EEG Connectivity with Granger Causality and Graph Theory 査読有り

Uchida, T; Fujiwara, K; Inoue, T; Maruta, Y; Kano, M; Suzuki, M

2018 ASIA-PACIFIC SIGNAL AND INFORMATION PROCESSING ASSOCIATION ANNUAL SUMMIT AND CONFERENCE (APSIPA ASC) 頁： 861 - 864 2018年

Design of False Heart Rate Feedback System for Improving Game Experience 査読有り

Ogawa, S; Fujiwara, K; Yamakawa, T; Abe, E; Kano, M

2018 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS (ICCE) 2018年

ACUTE EFFECT OF CONTINUOUS POSITIVE AIRWAY PRESSURE THERAPY ON HEART RATE VARIABILITY OF SAS PATIENTS IN CONSECUTIVE NIGHTS 査読有り

Nakayama, C; Fujiwara, K; Matsuo, M; Kano, M; Kadotani, H

SLEEP MEDICINE 40 巻頁： E237 - E237 2017年12月

MISSING RRI INTERPOLATION ALGORITHM USING JUST-IN-TIME MODELING FRAMEWORK AND ITS APPLICATION TO HRV-BASED DROWSY DRIVING DETECTION 査読有り

Fujiwara, K; Kinoshita, T; Kamata, K; Yamakawa, T; Kano, M

SLEEP MEDICINE 40 巻頁： E101 - E101 2017年12月

Causal Analysis based on Non-time-series Kernel Granger Causality in a Steelmaking Process 査読有り

Sato, R; Fujiwara, K; Tani, M; Mori, J; Ise, J; Harada, K; Kano, M

2017 11TH ASIAN CONTROL CONFERENCE (ASCC) 頁： 1778 - 1782 2017年

Development of Correlation-based Process Characteristics Visualization Method and Its Application to Fault Detection 査読有り

Fujiwara, K; Kano, M

2017 13TH IEEE INTERNATIONAL CONFERENCE ON CONTROL & AUTOMATION (ICCA) 頁： 940 - 945 2017年

Epileptic Seizure Prediction Based on Multivariate Statistical Process Control of Heart Rate Variability Features 査読有り

K. Fujiwara, M. Miyajima, T. Yamakawa, E. Abe, Y. Suzuki, Y. Sawada, M. Kano, T. Maehara, K. Ohta, T. Sasai-Sakuma, T. Sasano, M. Matsuura, and E. Matsushima

IEEE Transactions on Biomedical Engineering 63 巻頁： 1321-1332 2016年6月

Input variable selection for PLS modeling using nearest correlation spectral clustering 査読有り

K. Fujiwara; H. Sawada; M. Kano

Chemometrics and Intelligent Laboratory Systems 118 巻頁： 109-119 2012年8月

Soft-sensor development using correlation-based just-in-time modeling 査読有り

K. Fujiwara; M. Kano; S. Hasebe; A. Takinami

AIChE Journal 55 巻 ( 7 ) 頁： 1754-1765 2009年7月

Frustration control during driving using auditory false heart rate feedback 査読有り

Koshi Ota, Koichi Fujiwara, Toshihiro Hiraoka

Transportation Research Part F: Traffic Psychology and Behaviour 101 巻頁： 375 - 386 2024年2月

Heat illness detection with heart rate variability analysis and anomaly detection algorithm 査読有り

Fujiwara, K; Ota, K; Saeda, S; Yamakawa, T; Kubo, T; Yamamoto, A; Maruno, Y; Kano, M

BIOMEDICAL SIGNAL PROCESSING AND CONTROL 87 巻頁： 105520 - 105520 2024年1月

Predictive Modeling for Hospital Readmissions for Patients with Heart Disease: An updated review from 2012-2023 査読有り

Wei Zhang, Weihan Cheng, Koichi Fujiwara, Richard Evans, Chengyan Zhu

IEEE Journal of Biomedical and Health Informatics 2024年

Association between postinduction hypotension and postoperative mortality: a single-centre retrospective cohort study. 査読有り

Nakanishi T, Tsuji T, Sento Y, Hashimoto H, Fujiwara K, Sobue K

Canadian journal of anaesthesia = Journal canadien d'anesthesie 71 巻 ( 3 ) 頁： 343 - 352 2023年11月

Prediction Model of Postoperative Pain Exacerbation Using a Wearable Electrocardiogram Sensor 査読有り

Toshiyuki Nakanishi, Koichi Fujiwara, Kazuya Sobue

2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) 2023年10月

FexSplice: A LightGBM-Based Model for Predicting the Splicing Effect of a Single Nucleotide Variant Affecting the First Nucleotide G of an Exon 査読有り

Joudaki, A; Takeda, J; Masuda, A; Ode, R; Fujiwara, K; Ohno, K

GENES 14 巻 ( 9 ) 頁： 1765 - 1765 2023年9月

医工連携によるRBD病態解明の取り組み立ち上がる数分前に起立性低血圧を予測できるか?レム睡眠行動障害患者への心拍変動解析の応用例査読有り

角幸頼, 小枝正汰, 藤原幸一, 尾関祐二, 角谷寛

日本睡眠学会定期学術集会・日本時間生物学会学術大会合同大会プログラム・抄録集 45回・30回巻頁： 141 - 141 2023年9月

医工連携によるRBD病態解明の取り組み心拍変動に着目したレム睡眠行動障害患者における起立性低血圧の有無を判定する機械学習モデル査読有り

藤原幸一, 小枝正汰, 角幸頼, 今井眞, 角谷寛

日本睡眠学会定期学術集会・日本時間生物学会学術大会合同大会プログラム・抄録集 45回・30回巻頁： 141 - 141 2023年9月

Association between post-induction hypotension and postoperative mortality: A single-center retrospective cohort study 査読有り

T. Nakanishi, T. Tsuji, Y. Sento, H. Hashimoto, K. Fujiwara, K. Sobue

Canadian Journal of Anesthesia 2023年8月

Learning curve of i-gel insertion in novices using a cumulative sum analysis. 査読有り

Nakanishi T, Sakamoto S, Yoshimura M, Fujiwara K, Toriumi T

Scientific reports 13 巻 ( 1 ) 頁： 7121 2023年5月

Development of an epileptic seizure prediction algorithm using R–R intervals with self-attentive autoencoder 招待有り査読有り

R. Ode, K. Fujiwara, M. Miyajima, T. Yamakawa, M. Kano, K. Jin, N. Nakasato, Y. Sawai, T. Hoshida, M. Iwasaki, Y. Murata, S. Watanabe, Y. Watanabe, Y. Suzuki, M. Inaji, N. Kunii, S. Oshino, H. M. Khoo, H. Kishima, T. Maehara

Artificial Life and Robotics 28 巻頁： 403 - 409 2023年5月

Causal analysis of nitrogen oxides emissions process in coal-fired power plant with LiNGAM 招待有り査読有り

Tatsuki Saito, Koichi Fujiwara

Frontiers in Analytical Science 3 巻 2023年2月

担当区分：責任著者記述言語：英語掲載種別：研究論文（学術雑誌）出版者・発行元：Frontiers Media SA

Coal has been an important energy source worldwide; however, it is the largest source of nitrogen oxide (NOx) emissions because the amount of nitrogen in coal is larger than that of other fossil fuels. Precise control of NOx emissions is required in operations of coal-fired power plants from the viewpoint of air pollution control. Although theoretical analyses of NOx generation from a coal-fired power plant have been conducted, it is difficult to precisely predict NOx generation in an actual plant. NOx generation is affected by various factors, such as furnace design and operating conditions, and there are complicated relationships among them. Thus, it is necessary to identify important operating factors that affect NOx generation in actual coal-fired power plants. A linear non-Gaussian acyclic model (LiNGAM) is an exploratory causal analysis method that identifies a causal ordering of variables and their connection strengths without any prior knowledge of causal relationships among variables. In this study, we analyzed real operation data collected from a coal-fired power plant using LiNGAM to identify factors of NOx generation. The causal relationship between process variables and NOx generation was estimated by means of LiNGAM, and the connectional strengths of the variables on NOx generation were derived. The analysis results agreed with previous reports on NOx generation mechanisms, such as combustion air temperature, steam temperature on a specific side of the furnace, and air flow rate of forced draft fans. In addition, we found the steam flow rate and the furnace pressure as new candidate factors of NOx generation through causal analysis using LiNGAM, which heretofore has not been suggested. Our analysis result should contribute to reducing NOx emissions from coal-fired power plants in the future.

DOI： 10.3389/frans.2023.1045324

心拍変動解析とニューラルネットワークを用いた睡眠時無呼吸症候群スクリーニングAIの開発査読有り

角幸頼, 藤原幸一, 岩崎絢子, 尾関祐二, 角谷寛

人工知能学会全国大会論文集 JSAI2023 巻 ( 0 ) 頁： 1L4OS18a04 - 1L4OS18a04 2023年

記述言語：日本語掲載種別：研究論文（学術雑誌）出版者・発行元：一般社団法人人工知能学会

睡眠時無呼吸症候群 (sleep apnea syndrome: SAS) は、睡眠中の無呼吸または低呼吸など呼吸イベントにより、眠気や倦怠感が引き起こされる疾患である。SASは、冠動脈疾患（狭心症・心筋梗塞）や心房細動、脳卒中など危険因子である。SASの有病率は成人の2-7% とされるが、自覚症状の乏しい患者はさらに多いと見積もられている。 SAS は一般的には、睡眠専門機関における検査(睡眠ポリグラフ, PSG)で診断される。PSG は限られた施設でしか行われておらず、本疾患のスクリーニング法の開発が必要であった。そこで、呼吸イベントに関連した心拍変動に着目し、心拍変動解析とニューラルネットワークを用いた睡眠時無呼吸症候群スクリーニング手法を開発した。大規模な PSG データセット (N = 938) を対象に、心拍データに対して長期・短期記憶を用い、SAS の検出を試みた。重症 SAS の検出は、area under the curve (AUC) 0.92、感度 0.80、特異度 0.84 で検出できた。今後、SAS 患者の早期発見のため、ウェアラブルデバイスを用いた簡易なスクリーニング手法の開発を目指している。

DOI： 10.11517/pjsai.jsai2023.0_1l4os18a04

CiNii Research

ウェアラブル心電計と経静脈的患者自己調節鎮痛法を用いた手術後の痛み増強を予測するAIの開発査読有り

中西俊之, 藤原幸一, 仙頭佳起, 祖父江和哉

人工知能学会全国大会論文集 JSAI2023 巻 ( 0 ) 頁： 1L5OS18b02 - 1L5OS18b02 2023年

記述言語：日本語掲載種別：研究論文（学術雑誌）出版者・発行元：一般社団法人人工知能学会

痛みは主観的な感覚であるため，自己評価スケールで評価されてきた．しかし，自己評価スケールは時間的に連続評価ができず，意識レベル低下時や小児では実施が難しい．そのため，熱や電気刺激に対する生体信号の変化を痛みの正解データとして用いることで，痛みの客観化が試みられてきた．しかし，実験環境での解析結果をそのまま実際の患者に適応できるかどうかは明らかでない．我々は，患者自身が痛みの増強時に鎮痛剤を投与する経静脈的患者自己調節鎮痛法（IV-PCA）の使用記録から痛みの経時変化を推定できると考えた．本研究の目的は，ウェアラブル心電計とIV-PCAを用い，生体信号と機械学習により術後の痛みを連続的に評価し，その増強を予測することである．時系列性を考慮した異常検知モデルである自己注意機構付きオートエンコーダ（SA-AE）を採用し，心拍変動指標を入力特徴量に用いて痛み増強を予測するAIを構築した．IV-PCAの使用を痛みの増強と定義し，8人の術後患者において痛み増強の15分前にTPR 54%，FPR 1.76 回/hの性能で予測できた．今後，データを蓄積してモデルの性能を改善する．

DOI： 10.11517/pjsai.jsai2023.0_1l5os18b02

CiNii Research

Nearest Neighbor Search-Based Modification of RRI Data with Premature Atrial Contraction and Premature Ventricular Contraction 査読有り

Sifeng Chen, Shota Kato, Koichi Fujiwara, Manabu Kano

2023 SICE INTERNATIONAL SYMPOSIUM ON CONTROL SYSTEMS, SICE ISCS 頁： 53 - 57 2023年

記述言語：英語掲載種別：研究論文（国際会議プロシーディングス）出版者・発行元：IEEE

Heart rate variability (HRV) analysis plays an essential role in healthcare. HRV features cannot be extracted accurately from the R-R interval (RRI) when RRI data contains artifacts. Previous research for modifying RRI data with artifacts considered premature atrial contraction (PAC) and premature ventricular contraction (PVC), which are the most common types of extrasystoles occurring every day in healthy persons. This research proposed three new RRI modification algorithms for PAC and PVC using nearest neighbor search (NNS) algorithms: k-nearest neighbors (KNN), clustering-KNN (CKNN), and approximate nearest neighbors (ANN). The present work demonstrated that the ANN-based RRI modification (ANN-RM) algorithm achieved lower root mean squared errors (RMSEs) than the CKNN-based RRI modification algorithm and the highest computational speed. The RMSEs of ANN-RM for PAC and PVC were 23.0 ms and 26.2 ms, respectively.

Web of Science

Causal Plot: Causal-Based Fault Diagnosis Method Based on Causal Analysis 査読有り

Uchida, Y; Fujiwara, K; Saito, T; Osaka, T

PROCESSES 10 巻 ( 11 ) 頁： 2269 2022年11月

Effects of pleasant sound on overnight sleep condition: A crossover randomized study 査読有り

Shota Saeda, Koichi Fujiwara, Takafumi Kinoshita, Yukiyoshi Sumi, Masahiro Matsuo, Kiyoshi Yamaki, Takahiro Kawashima, Hiroshi Kadotani

Frontiers in Sleep 1 巻 2022年10月

担当区分：責任著者記述言語：英語掲載種別：研究論文（学術雑誌）出版者・発行元：Frontiers Media SA

It is desirable to improve sleep quality since poor sleep results in decreases in work productivity and increases in risks of lifestyle-related diseases. Sleep spindles in sleep EEG are waveforms that characterize non-REM sleep Stage 2 (Stage N2). Music therapy has been adopted as a non-pharmacological therapy for sleep quality improvement; however, few studies mention the relationship between music during sleep and spindles. We conducted a crossover randomized study to investigate music's effects on spindles and sleep parameters. Polysomnography (PSG) was performed on 12 adult males with sleep difficulties over three nights, during which they were exposed to three different acoustic environments–silent, white noise, and pleasant sounds–throughout the night, in a crossover randomized setting. Half of the participants with large WASO were defined as the sleep maintenance difficulty group. We investigated whether pleasant sounds shortened sleep onset latency (SOL) and increased the number of spindles (SN) and spindle density (SD) compared to white noise, using silent as the reference. The spindles were detected using the previously reported automatic spindle detection algorithm. After one patient was excluded due to data corruption, a total of 11 participants, including the sleep maintenance difficulty group (n = 5), were analyzed. For all participants, SOL was not significantly shorter with pleasant sound than with white noise (p = 0.683); for the sleep maintenance difficulty group, SOL tended to be shorter with pleasant sound than with white noise (p = 0.060). Compared to white noise, the SN increased in pleasant sound for 7 of 11 (4 of 5 in the sleep maintenance difficulty group), and SD increased for 5 of 11 (3 of 5 in the sleep maintenance difficulty group). The results suggest that all-night background sound exposure may affect SN and SD. Future research should investigate whether background sound exposure reduces sleep-related distress, achieves sound sleep, or improves daytime psychomotor function.

DOI： 10.3389/frsle.2022.986333

Interactive system for optimal position selection of a patch-type R–R interval telemeter 招待有り査読有り

Aoi Noguchi, Tomoyuki Takano, Koichi Fujiwara, Miho Miyajima, Toshitaka Yamakawa

Artificial Life and Robotics 2022年10月

Sleep-EEG-based Parameters for Discriminating Fatigue and Sleepiness 査読有り

Koichi Fujiwara, Yuki Goto, Yukiyoshi Sumi, Manabu Kano, Hiroshi Kadotani

Frontiers in Sleep 1 巻頁： 975415 - 975415 2022年10月

Wearable sensor device-based detection of decreased heart rate variability in Parkinson's disease 査読有り国際誌

Suzuki, M; Nakamura, T; Hirayama, M; Ueda, M; Hatanaka, M; Harada, Y; Nakatochi, M; Nakatsubo, D; Maesawa, S; Saito, R; Fujiwara, K; Katsuno, M

JOURNAL OF NEURAL TRANSMISSION 129 巻 ( 10 ) 頁： 1299 - 1306 2022年10月

麻酔・集中治療領域における医学と工学の異分野融合研究の経験査読有り

中西俊之, 祖父江和哉, 藤原幸一

麻酔科学サマーセミナー 18回巻頁： 44 - 44 2022年7月

Prediction of GABA receptor antagonist-induced convulsion in cynomolgus monkeys by combining machine learning and heart rate variability analysis 査読有り

Shoya Nagata, Koichi Fujiwara, Kazuhiro Kuga, HarushigeOzaki

Journal of Pharmacological and Toxicological Methods 112 巻頁： 107127 2021年10月

Sympathetic hyperactivity, hypertension, and tachycardia induced by stimulation of the ponto-medullary junction in humans 査読有り国際誌

Hamasaki, T; Yamakawa, T; Fujiwara, K; Harashima, H; Nakamura, K; Ikuta, Y; Yamamoto, T; Hasegawa, Y; Takezaki, T; Mukasa, A

CLINICAL NEUROPHYSIOLOGY 132 巻 ( 6 ) 頁： 1264 - 1273 2021年6月

Development of Game-Like System Using Active Behavior Input for Wakefulness-Keeping Support in Driving 査読有り

Ibe, T; Fujiwara, K; Hiraoka, T; Abe, E; Yamakawa, T

IEEE TRANSACTIONS ON INTELLIGENT VEHICLES 6 巻 ( 2 ) 頁： 323 - 332 2021年6月

Autoencoder-Based Extrasystole Detection and Modification of RRI Data for Precise Heart Rate Variability Analysis 査読有り

Fujiwara, K; Miyatani, S; Goda, A; Miyajima, M; Sasano, T; Kano, M

SENSORS 21 巻 ( 9 ) 頁： 3235 - 3235 2021年5月

Sympathetic hyperactivity, hypertension, and tachycardia induced by stimulation of the ponto-medullary junction in humans 査読有り

T. Hamasaki, T. Yamakawa, K. Fujiwara, H. Harashima, K. Nakamura, Y. Ikuta, T. Yamamoto, Y. Hasegawa, T. Takezaki, A. Mukasa

Clinical Neurophysiology 2021年3月

Yuki Goto, Koichi Fujiwara, Yukiyoshi Sumi, Masahiro Matsuo, Manabu Kano, Hiroshi Kadotani

Frontiers in Public Health 10 巻頁： 630640 - 630640 2021年2月

Resting Heart Rate Variability Is Associated With Subsequent Orthostatic Hypotension: Comparison Between Healthy Older People and Patients With Rapid Eye Movement Sleep Behavior Disorder 査読有り国際誌

Y. Sumi, C. Nakayama, H. Kadotani, M. Matsuo, Y. Ozeki, T. Kinoshita, Y. Goto, M. Kano, T. Yamakawa, M. Ohira, K. Ogawa, K. Fujiwara

Frontiers in Neurology 11 巻頁： 567984 2020年11月

Wearable Epileptic Seizure Prediction System with Machine-Learning-Based Anomaly Detection of Heart Rate Variability 査読有り国際誌

Yamakawa, T; Miyajima, M; Fujiwara, K; Kano, M; Suzuki, Y; Watanabe, Y; Watanabe, S; Hoshida, T; Inaji, M; Maehara, T

SENSORS 20 巻 ( 14 ) 頁： 3987 - 3987 2020年7月

Regression and independence based variable importance measure 査読有り国際誌

Zhang, XM; Wada, T; Fujiwara, K; Kano, M

COMPUTERS & CHEMICAL ENGINEERING 135 巻 ( 6 ) 頁： 106757 2020年4月

Sleep Spindle Detection Using RUSBoost and Synchrosqueezed Wavelet Transform 査読有り国際誌

Kinoshita, T; Fujiwara, K; Kano, M; Ogawa, K; Sumi, Y; Matsuo, M; Kadotani, H

IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING 28 巻 ( 2 ) 頁： 390 - 398 2020年2月

心拍変動を用いた運動中のイヌの情動評価の試み査読有り

村山未来, 永澤美保, 片山真希, 池田和司, 久保孝富, 山川俊貴, 藤原幸一, 菊水健史

動物心理学研究 70 巻 ( 1 ) 頁： 15 - 18 2020年

Obstructive sleep apnea screening by heart rate variability-based apnea/normal respiration discriminant model 査読有り国際誌

Nakayama, C; Fujiwara, K; Sumi, Y; Matsuo, M; Kano, M; Kadotani, H

PHYSIOLOGICAL MEASUREMENT 40 巻 ( 12 ) 頁： 125001 - 125001 2019年12月

Views of patients with epilepsy on wearable seizure prediction system; impact of two different type of devices on sleep quality 査読有り

M. Miyajima, T. Yamakawa, K. Fujiwara, T. Seki, T. ohno, M. Iimori, M. Inaji, H. Osoegawa, M. Kano, T. Maehara

Sleep Medicine 64 巻 2019年12月

医師患者関係のトラスト構築に向けたAI活用の可能性査読有り

藤田卓仙, 江間有沙, 近藤諭, 藤原幸一, 中谷内一也, 尾藤誠司

医療情報学連合大会論文集 39回巻頁： 126 - 128 2019年11月

Emotional Contagion From Humans to Dogs Is Facilitated by Duration of Ownership 招待有り査読有り

M. Katayama, T. Kubo, T. Yamakawa, K. Fujiwara, K. Nomoto, K. Ikeda, K. Mogi, M. Nagasawa and T. Kikusui

Frontiers in Psychology 10 巻頁： 1678 2019年7月

Development of a Sleep Apnea Detection Algorithm Using Long Short-Term Memory and Heart Rate Variability 査読有り国際誌

Ayako Iwasaki, Chikao Nakayama, Koichi Fujiwara, Yukiyoshi Sumi, Masahiro Matsuo, Manabu Kano, Hiroshi Kadotani

Annu Int Conf IEEE Eng Med Biol Soc. 2019 巻頁： 3964 - 3967 2019年7月

Emotional Contagion From Humans to Dogs Is Facilitated by Duration of Ownership 査読有り国際誌

M. Katayama, T. Kubo, T. Yamakawa, K. Fujiwara, K. Nomoto, K. Ikeda, K. Mogi, M. Nagasawa, T. Kikusui

Frontiers in Psychology 10 巻頁： 1678 - 1678 2019年7月

Missing RRI Interpolation Algorithm based on Locally Weighted Partial Least Squares for Precise Heart Rate Variability Analysis 査読有り国際誌

Kamata, K; Fujiwara, K; Kinoshita, T; Kano, M

SENSORS 18 巻 ( 11 ) 頁： 3870 2018年11月

Deniosing Autoencoder-based Modification of RRI data with Premature Ventricular Contraction for Precise Heart Rate Variability Analysis 査読有り

Shota Miyatani, Koichi Fujiwara, Manabu Kano

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2018-July 巻頁： 5018 - 5021 2018年10月

記述言語：英語掲載種別：研究論文（国際会議プロシーディングス）

© 2018 IEEE. The fluctuation of an RR interval (RRI) on an electrocardiogram (ECG) is called heart rate variability (HRV). HRV reflects the autonomic nerve activity, thus HRV analysis has been used for health monitoring such as stress estimation, drowsiness detection, epileptic seizure prediction, and cardiovascular disease diagnosis. However, RRI and HRV features are easily affected by arrhythmia, which deteriorates the health monitoring performance. Premature ventricular contraction (PVC) is common arrhythmia that many healthy persons have. Thus, a new methodology for dealing with RRI fluctuation disturbed by PVC needs to be developed for realizing precise health monitoring. To modify RRI data affected by PVC, the present work proposes a new method based on a denoising autoencoder (DAE), which reconstructs original input data from the noisy input data by using a neural network. The proposed method, referred to as DAE-based RRI modification (DAERM), aims to correct the disturbed RRI data by regarding PVC as artifacts. The present work demonstrated the usefulness of the proposed DAE-RM through its application to real RRI data with artificial PVC (PVC-RRI). The result showed that DAE-RM successfully modified PVC-RRI data. In fact, the root means squared error (RMSE) of the modified RRI was improved by 83.5% from the PVC-RRI. The proposed DAERM will contribute to realizing precise HRV-based health monitoring in the future.

DOI： 10.1109/EMBC.2018.8513218

Scopus

PubMed

Is hemifacial spasm affected by changes in the heart rate? A study using heart rate variability analysis 査読有り国際誌

Hamasaki, T; Morioka, M; Fujiwara, K; Nakayama, C; Harada, M; Sakata, K; Hasegawa, Y; Yamakawa, T; Yamada, K; Mukasa, A

CLINICAL NEUROPHYSIOLOGY 129 巻 ( 10 ) 頁： 2205 - 2214 2018年10月

Nearest Correlation-Based Input Variable Weighting for Soft-sensor Design, Frontiers in Chemistry 査読有り国際誌

K. Fujiwara, M. Kano

Frontiers in Chemistry 頁： . 2018年5月

Design of false heart rate feedback system for improving game experience 査読有り

Sayaka Ogawa, Koichi Fujiwara, Toshitaka Yamakawa, Erika Abe, Manabu Kano

2018 IEEE International Conference on Consumer Electronics, ICCE 2018 2018-January 巻頁： 1 - 4 2018年3月

記述言語：英語掲載種別：研究論文（国際会議プロシーディングス）

© 2018 IEEE. When players are excited by playing a video game, corresponding physiological responses such as sweating or changes in heart rate may appear. It is assumed that presenting physiological responses during game play to players in real-time alters their game experience even when they play the same game. Based on this assumption, this work investigated the effect of false heart rate (HR) feedback on game experience through experiments using a simple action game. Our experimental results indicated that false HR feedback not only prevented the players from becoming tired of the game but also enhanced players' experiences. In addition, a new game controller that can present HR information audibly and tactually was developed for realizing a game system based on false HR feedback.

DOI： 10.1109/ICCE.2018.8326254

Scopus

CFD-Based Design of Focal Brain Cooling System for Suppressing Epileptic Seizures 査読有り

Kei Hata, Takuto Abe, Takao Inoue, Koichi Fujiwara, Takatomi Kubo, Toshitaka Yamakawa, Sadahiro Nomura, Hirochika Imoto, Michiyasu Suzuki, Manabu Kano

Computer Aided Chemical Engineering 44 巻頁： 2089 - 2094 2018年1月

記述言語：英語掲載種別：論文集(書籍)内論文

© 2018 Elsevier B.V. Epilepsy is a group of neurological disorders which is caused by excessive neuronal activities in cerebrum and characterized by recurrent seizures. A quarter of patients have intractable epilepsy and do not become seizure-free with medication. We are developing an implantable and wearable focal brain cooling system, which enables the patients to lead ordinary daily life. The system cools the epileptic focus, where the excessive neuronal activities begin, by delivering cold saline to a cranially implanted cooling device. In this research, we developed a whole system model through the first principles and animal experiments. The results of system design have shown that a cooling device with more complex channel structure achieves higher temperature uniformity in the brain with lower flow rate of saline. The optimal structure was derived by taking account of the trade-off between pressure drop and temperature uniformity. In addition, the results have demonstrated that the cooling duration is less than 10 minutes for the average temperature 2 mm below the cooling device (inside the brain) to reach 25 °C; it is short enough to cool the brain after seizure is predicted by existing electroencephalogram (EEG)-based algorithms. Moreover, the frequency of battery charging would be once in several days for most patients.

DOI： 10.1016/B978-0-444-64241-7.50343-8

Scopus

Validation of HRV-based drowsy-driving detection method with EEG sleep stage classification 査読有り

T. Yamakawa, K. Fujiwara, T. Hiraoka, M. Kano, Y. Sumi, F. Masuda, M. Matsuo, H. Kadotani

Sleep Medicine (Proc. of World Sleep Congress) 40 巻頁： e352 - e352 2017年12月

Seizure prediction in localization-related epilepsy by heart rate variability monitoring 査読有り国際誌

Miyajima M, Fujiwara K, Toshitaka Y, Yoko S, Sasai-Sakuma T, Kano M, Maehara T, Watanabe Y, Watanabe S, Murata Y, Sasano T, Eisuke M

JOURNAL OF THE NEUROLOGICAL SCIENCES 381 巻頁： 554 - 555 2017年10月

A new infarction detection method based on heart rate variability in rat middle cerebral artery occlusion model 査読有り

Kodata T, Kamata K, Fujiwara K, Kano M, Yamakawa T, Yuki I, Murayama Y

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 頁： 3061 - 3064 2017年9月

Design of focal brain cooling system for suppressing epileptic seizures 査読有り

Kei Hata, Koichi Fujiwara, Manabu Kano, Takao Inoue, Sadahiro Nomura, Hirochika Imoto, Michiyasu Suzuki

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 頁： 283 - 286 2017年9月

記述言語：英語掲載種別：研究論文（国際会議プロシーディングス）

? 2017 IEEE. Epilepsy is a group of diseases caused by excessive neuronal activities, and one-quarter of the patients do not become seizure-free by the existing treatments. The potential treatments include focal brain cooling, which aims to cool the region where the excessive neuronal activities begin. We are developing a focal brain cooling system. The system delivers cold saline to a cranially implanted cooling device. The outflow is cooled by a Peltier device and pumped for circulation. The Peltier device and the pump are activated only when a seizure is predicted. In this research, the length of time for cooling the brain was calculated with a computational fluid dynamics (CFD)-based model of the focal brain cooling system. As a result, it takes less than 10 minutes for the average temperature 2 mm below the cooling device to reach 25.0 °C. It is much shorter than the time from seizure prediction to seizure onset when an existing algorithm for prediction is used.

DOI： 10.1109/EMBC.2017.8036817

Web of Science

Scopus

PubMed

Development of correlation-based process characteristics visualization method and its application to fault detection 査読有り

Koichi Fujiwara, Manabu Kano

IEEE International Conference on Control and Automation, ICCA 頁： 940 - 945 2017年8月

記述言語：英語掲載種別：研究論文（国際会議プロシーディングス）

? 2017 IEEE. Although process monitoring is important for maintaining safety and product quality, it is difficult to understand process characteristics particularly when they are changing. Since the correlation among variables changes due to changes in process characteristics, process data visualization based on the correlation among variables helps process characteristic understanding. In the present work, a new correlation-based data visualization method is proposed by integrating joint decorrelation (JD) and stochastic proximity embedding (SPE). JD is a blind source separation (BSS) method that can separates sample based on the correlation, and SPE is a self-organizing algorithm that can map high-dimensional data to a two-dimensional plane. The proposed method, referred to as JD-SPE, separates samples based on the correlation using JD and the separated samples are visualized in the two-dimensional plane by SPE. Correlation matrices have to be constructed before sample separation for JD; however how to construct them is not clear. The present work also proposes a correlation matrix construction method for JD by using nearest correlation spectral clustering (NCSC), which is a correlation-based clustering method. In addition, a new process monitoring method based on multivariate statistical process control (MSPC) which is a well-known process monitoring algorithm and JD-SPE. This monitoring method is referred to as JD-SPE-r 2 . The proposed JD-SPE-Γ 2 can detect a fault that can not detected by the conventional MSPC. The usefulness of the proposed methods is demonstrated through numerical examples.

DOI： 10.1109/ICCA.2017.8003187

Scopus

運転中の能動的行為によるドライバの覚醒維持効果と運転安全性査読有り国際誌

伊部達郎, 平岡敏洋, 阿部恵里花, 藤原幸一, 山川俊貴

自動車技術会論文集 48 巻 ( 2 ) 頁： 463 - 469 2017年2月

Comparisons of Portable Sleep Monitors of Different Modalities: Potential as Naturalistic Sleep Recorders 査読有り

M. Matsuo, F. Masuda, Y. Sumi, M. Takahashi, N. Yamada, M. H. Ohira, K. Fujiwara, T. Kanemura and H. Kadotani

Frontiers in Neurology 2016年6月

Evaluation of a Portable Two-channel Electroencephalogram Monitoring System to Analyze Sleep Stages 査読有り

T. Kanemura, H. Kadotani, M. Matsuo, F. Masuda, K. Fujiwara , M. Ohira and N. Yamada

Journal of Oral and Sleep Medicine 2 巻頁： 101-108 2016年5月

Development of Drowsiness Detection Method by Integrating Heart Rate Variability Analysis and Multivariate Statistical Process Control 査読有り

E. Abe, K. Fujiwara, T. Hiraoka, T. Yamakawa and M. Kano

SICE Journal of Control, Measurement, and System Integration 9 巻頁： 10-17 2016年1月

Efficient wavenumber selection based on spectral fluctuation dividing and correlation-based clustering for calibration modeling 査読有り

T. Miyano, K. Fujiwara, M. Kano, H. Tanabe, H. Nakagawa, T. Watanabe, H. Minami

Chemometrics and Intelligent Laboratory Systems 148 巻頁： 85-94 2015年9月

Efficient input variable selection for soft-senor design based on nearest correlation spectral clustering and group Lasso 査読有り

Koichi Fujiwara, Manabu Kano

ISA Transactions 58 巻 ( 9 ) 頁： 367-379 2015年9月

記述言語：英語掲載種別：研究論文（学術雑誌）

Appropriate input variables have to be selected for building highly accurate soft sensor. A novel input variable selection method based on nearest correlation spectral clustering (NCSC) has been proposed, and it is referred to as NCSC-based variable selection (NCSC-VS). Although NCSC-VS can select appropriate input variables, a lot of parameters have to be tuned carefully for selecting proper variables. The present work proposes a new methodology for efficient input variable selection by integrating NCSC and group Lasso. The proposed NCSC-based group Lasso (NCSC-GL) can not only reduce the number of tuning parameters but also achieve almost the same performance as NCSC-VS. The usefulness of the proposed NCSC-GL is demonstrated through applications to soft sensor design for a pharmaceutical process and a chemical process.

DOI： 10.1016/j.isatra.2015.04.007

Scopus

PubMed

A Study on Heart Rate Monitoring in Daily Life by Using a Surface-Type Sensor 査読有り

H. Chigira, A. Maeda, M. Kobayashi, K. Fujiwara, T. Hiraoka, A. Tanaka, T. Tanaka

SICE Journal of Control, Measurement, and System Integration 8 巻 ( 1 ) 頁： 74-78 2015年1月

Virtual sensing technology in process industries: Trends and challenges revealed by recent industrial applications 査読有り

M. Kano; K. Fujiwara

Journal of Chemical Engineering of Japan 46 巻 ( 1 ) 頁： 1-17 2013年

Development of correlation-based pattern recognition algorithm and adaptive soft-sensor design 査読有り

K. Fujiwara; M. Kano; S. Hasebe

Control Engineering Practice 20 巻 ( 4 ) 頁： 371-378 2012年4月

Correlation-based spectral clustering for flexible process monitoring 査読有り

K. Fujiwara; M. Kano; S. Hasebe

Journal of Process Control 21 巻 ( 10 ) 頁： 1438-1448 2011年

Development of correlation-based clustering method and its application to software sensing 査読有り

K. Fujiwara; M. Kano; S. Hasebe

Chemometrics and Intelligent Laboratory Systems 101 巻 ( 2 ) 頁： 130-138 2010年4月

相関型 Just-In-Time モデリングによるソフトセンサの設計査読有り

藤原幸一, 加納学, 長谷部伸治

計測自動制御学会論文集 44 巻 ( 4 ) 頁： 317-324 2008年4月

ウェーブレット解析を用いたバッチプロセス操作プロファイルの最適化査読有り

藤原幸一;加納学;長谷部伸治;大野弘

計測自動制御学会論文集 42 巻 ( 10 ) 頁： 1143-1149 2006年10月

運転データに基づく階層型品質改善システムの開発 : 品質制御のための操作変数選択査読有り

藤原幸一, 加納学, 長谷部伸治, 大野弘

計測自動制御学会論文集 42 巻 ( 8 ) 頁： 909-915 2006年8月

運転データに基づく品質改善のための定性的品質情報の定量化査読有り

加納学;藤原幸一;長谷部伸治;大野弘

計測自動制御学会論文集 42 巻 ( 8 ) 頁： 902-908 2006年8月

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