単極脳波信号を用いた子どもの集中状態判別

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: 2016/08/01

タイトル(英語): A Study of Pattern Recognition in Children Using Single-Channel Electroencephalogram for Specialized Electroencephalographic Devices

著者名: 叶賀　卓（慶應義塾大学大学院理工学研究科），満倉　靖恵（慶應義塾大学大学院理工学研究科）

著者名(英語): Suguru Kanoga (Graduate School of Science and Technology, Keio University), Yasue Mitsukura (Graduate School of Science and Technology, Keio University)

キーワード: 脳波，単極脳波信号，子ども，集中，正則化項付きロジスティック回帰　　EEG，single-channel EEG signal，children，concentration，elastic net logistic regression

要約(英語): In this paper, we aim to classify two classes in children by using single-channel electroencephalogram (EEG). EEG has been used to define neural patterns and to adjust the wide applicability to a larger population of healthy and diseased users. Specialized EEG devices have recently developed as for compact and portable measurement system using them in the real environment. If there is a multiplex state estimation system with EEG through a specialized EEG device, it would be a powerful tool for neuroscience studies and clinical applications. We firstly focused on the state of concentration; therefore, two kinds of single-channel EEG signals (during meditation and concentration) from 10 children were measured. Recordings were processed to remove artifacts, and then extracted their periodic or non-periodic features by three methods (Fourier transform, wavelet transform, and empirical mode decomposition). Elastic net logistic regression constructed predictive models to classify two classes of the optimized extracted features. A model showed 0.988 area under the receiver operating characteristic curve when wavelet transform was selected as feature extraction method. Our next is to construct a multiplex state estimation system. Finally, we will make portable applications using a specialized EEG device that include the multiplex model and encourage children to develop the child's sense.

本誌: 電気学会論文誌C（電子・情報・システム部門誌） Vol.136 No.8 （2016） 特集Ⅰ：知能メカトロニクス分野と連携する知覚情報技術　特集Ⅱ：国際会議ICESS 2015

本誌掲載ページ: 1047-1055 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/136/8/136_1047/_article/-char/ja/