Research on Simultaneous Decoding of EEG and EMG Signals for Precise Control of Prosthetic Hand

カテゴリ: 研究会(論文単位)

論文No: MBE16041

グループ名: 【C】電子・情報・システム部門 医用・生体工学研究会

発行日: 2016/03/22

タイトル(英語): Research on Simultaneous Decoding of EEG and EMG Signals for Precise Control of Prosthetic Hand

著者名: 黄 琦(ハルビン工業大学/東京大学),関本 正志(東京大学),赤尾 旭彦(東京大学),小谷 潔(東京大学/ JSTさきがけ),神保 泰彦(東京大学)

著者名(英語): Qi Huang( Harbin Institute of Technology/ The University of Tokyo),Masashi Sekimoto(The University of Tokyo),Akihiko Akao(The University of Tokyo),Kiyoshi Kotani(The University of Tokyo/JST PRESTO),Yasuhiko Jimbo(The University of Tokyo)

キーワード: Ｃｏｒｔｉｃｏｍｕｓｃｕｌａｒ　Ｓｙｎｃｈｒｏｎｉｚａｔｉｏｎ|Ｅｌｅｃｔｒｏｅｎｃｅｐｈａｌｏｇｒａｍ|Ｅｌｅｃｔｒｏｍｙｏｇｒａｍ|Ｃｏｍｍｏｎ　Ｓｐａｔｉａｌ　Ｐａｔｔｅｒｎ|Ｓｕｐｐｏｒｔ　Ｖｅｃｔｏｒ　Ｍａｃｈｉｎｅ|Corticomuscular Synchronization|Electroencephalogram|Electromyogram|Common Spatial Pattern|Support Vector Machine

要約(日本語): Due to the low-level output force, it’s difficult for conventional myoelectric control method to recognize human intents of precise operations. On the other hand, cortico-muscular synchronization has been shown in the fre-quency rage 15-30Hz (generally recognized as the beta wave) of EEG signals, which is believed to be associated with the attention level of operation. Therefore, this paper proposed a decoding method to recognize human in-tents of precise operations from rough operations by simultaneously recording and analyzing EEG and surface EMG signals.

要約(英語): Due to the low-level output force, it’s difficult for conventional myoelectric control method to recognize human intents of precise operations. On the other hand, cortico-muscular synchronization has been shown in the fre-quency rage 15-30Hz (generally recognized as the beta wave) of EEG signals, which is believed to be associated with the attention level of operation. Therefore, this paper proposed a decoding method to recognize human in-tents of precise operations from rough operations by simultaneously recording and analyzing EEG and surface EMG signals.

原稿種別: 英語

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