{"product_id":"ieej-mbe16041","title":"Research on Simultaneous Decoding of EEG and EMG Signals for Precise Control of Prosthetic Hand","description":"\u003cp\u003e\u003cstrong\u003eカテゴリ: \u003c\/strong\u003e研究会(論文単位)\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e論文No: \u003c\/strong\u003eMBE16041\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 医用・生体工学研究会\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e発行日: \u003c\/strong\u003e2016\/03\/22\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eタイトル(英語): \u003c\/strong\u003eResearch on Simultaneous Decoding of EEG and EMG Signals for Precise Control of Prosthetic Hand\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e著者名: \u003c\/strong\u003e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)\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e著者名(英語): \u003c\/strong\u003eQi 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)\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eキーワード: \u003c\/strong\u003eＣｏｒｔｉｃｏｍｕｓｃｕｌａｒ　Ｓｙｎｃｈｒｏｎｉｚａｔｉｏｎ|Ｅｌｅｃｔｒｏｅｎｃｅｐｈａｌｏｇｒａｍ|Ｅｌｅｃｔｒｏｍｙｏｇｒａｍ|Ｃｏｍｍｏｎ　Ｓｐａｔｉａｌ　Ｐａｔｔｅｒｎ|Ｓｕｐｐｏｒｔ　Ｖｅｃｔｏｒ　Ｍａｃｈｉｎｅ|Corticomuscular Synchronization|Electroencephalogram|Electromyogram|Common Spatial Pattern|Support Vector Machine\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e要約(日本語): \u003c\/strong\u003eDue 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.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e要約(英語): \u003c\/strong\u003eDue 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.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e原稿種別: \u003c\/strong\u003e英語\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003ePDFファイルサイズ: \u003c\/strong\u003e1,030 Kバイト\u003c\/p\u003e","brand":"IEEJ-PDF","offers":[{"title":"PDFダウンロード（一般価格330円\/会員価格220円） \/ A4 \/ 5","offer_id":46388609712367,"sku":"IEEJ-MBE16041-PDF","price":330.0,"currency_code":"JPY","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0718\/9512\/2159\/files\/IEEJ-PDF_fffdd21b-1bd0-4ae4-8fe8-06e7aac30d88.png?v=1744510814","url":"https:\/\/ieej.bookpark.ne.jp\/products\/ieej-mbe16041","provider":"電気学会 電子図書館","version":"1.0","type":"link"}