近赤外分光法における一般線形モデルを用いた循環器変動成分の評価と除去手法の開発

カテゴリ: 論文誌(論文単位)

グループ名: 【C】電子・情報・システム部門

発行日: 2014/11/01

タイトル(英語): Removing Cardiovascular Fluctuations from Near-infrared Spectroscopy Signals using General Linear Model

著者名: 牧野　類（東京大学大学院新領域創成科学研究科），小川　雄太郎（東京大学大学院新領域創成科学研究科），沼田　崇志（東京大学大学院新領域創成科学研究科），小谷　潔（東京大学大学院新領域創成科学研究科），神保　泰彦（東京大学大学院新領域創成科学研究科）

著者名(英語): Rui Makino (Graduate School of Frontier Sciences, The University of Tokyo), Yutaro Ogawa (Graduate School of Frontier Sciences, The University of Tokyo), Takashi Numata (Graduate School of Frontier Sciences, The University of Tokyo), Kiyoshi Kotani (Graduate School of Frontier Sciences, The University of Tokyo), Yasuhiko Jimbo (Graduate School of Frontier Sciences, The University of Tokyo)

キーワード: 一般線形モデル，近赤外分光法，循環器活動，RSA，MWSA　　general linear model，Near-Infrared Spectroscopy (NIRS)，cardiovascular fluctuations，respiratory sinus arrhythmia (RSA)，Mayer wave related sinus arrhythmia (MWSA)

要約(英語): Near-Infrared Spectroscopy (NIRS) measures cerebral blood flow activated by neural activities as changes of Oxy-hemoglobin concentrations by using near-infrared light. NIRS signals contain not only neural activities, but also cardiovascular fluctuations, such as respiratory sinus arrhythmia (RSA) and Mayer wave related sinus arrhythmia (MWSA). Usually, these noises are cancelled by measuring same tasks repeatedly and averaging them. However, this averaging method needs many tasks and long-time measurements that lead to subjects' stress. In this study, we proposed a new method to remove cardiovascular fluctuations from NIRS signals by measuring cardiovascular signals simultaneously and using general linear model (GLM) method. First, we estimated powers of RSA and MWSA in NIRS signals by a respiratory-control experiment. Then, we evaluated the accuracy of the proposed method using computationally generated data. Finally, we demonstrated the effectiveness of the proposed method in a working memory experiment, which is one of psychological experiment. This result shows our method enables measuring NIRS signals not only more shortly, but also more accurately.

本誌: 電気学会論文誌C（電子・情報・システム部門誌） Vol.134 No.11 （2014） 特集Ⅰ：電気関係学会関西連合大会　特集Ⅱ：国際会議ヒューマナイズド　システム2013

本誌掲載ページ: 1670-1677 p

原稿種別: 論文／日本語

電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejeiss/134/11/134_1670/_article/-char/ja/