{"product_id":"ieej-rc13608-003","title":"単極脳波信号を用いた子どもの集中状態判別","description":"\u003cp\u003e\u003cstrong\u003eカテゴリ: \u003c\/strong\u003e論文誌(論文単位)\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eグループ名: \u003c\/strong\u003e【C】電子・情報・システム部門\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e発行日: \u003c\/strong\u003e2016\/08\/01\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eタイトル(英語): \u003c\/strong\u003eA Study of Pattern Recognition in Children Using Single-Channel Electroencephalogram for Specialized Electroencephalographic Devices\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e著者名: \u003c\/strong\u003e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）\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e著者名(英語): \u003c\/strong\u003eSuguru Kanoga (Graduate School of Science and Technology, Keio University), Yasue Mitsukura (Graduate School of Science and Technology, Keio University)\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eキーワード: \u003c\/strong\u003e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\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e要約(英語): \u003c\/strong\u003eIn 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.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e本誌: \u003c\/strong\u003e\u003ca href=\"\/products\/ieej-rc13608\"\u003e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\u003c\/a\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e本誌掲載ページ: \u003c\/strong\u003e1047-1055 p\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e原稿種別: \u003c\/strong\u003e論文／日本語\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e電子版へのリンク: \u003c\/strong\u003e\u003ca target=\"_blank\" href=\"https:\/\/www.jstage.jst.go.jp\/article\/ieejeiss\/136\/8\/136_1047\/_article\/-char\/ja\/\"\u003ehttps:\/\/www.jstage.jst.go.jp\/article\/ieejeiss\/136\/8\/136_1047\/_article\/-char\/ja\/\u003c\/a\u003e\u003c\/p\u003e","brand":"IEEJ-P10","offers":[{"title":"冊子印刷（一般価格770円\/会員価格550円） \/ A4 \/ 9","offer_id":46349951434991,"sku":"IEEJ-RC13608-003-PRT","price":770.0,"currency_code":"JPY","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0718\/9512\/2159\/files\/IEEJ-RC13608_278930a1-07b2-49b6-9366-d20528525187.png?v=1743166033","url":"https:\/\/ieej.bookpark.ne.jp\/products\/ieej-rc13608-003","provider":"電気学会 電子図書館","version":"1.0","type":"link"}