多チャンネル表面筋電図を用いた伝播波解析
多チャンネル表面筋電図を用いた伝播波解析
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: 2014/03/01
タイトル(英語): Conducting Waves using Multi-channel Surface EMG
著者名: 小菅 智裕(電気通信大学大学院 情報理工学研究科),板倉 直明(電気通信大学大学院 情報理工学研究科),水戸 和幸(電気通信大学大学院 情報理工学研究科)
著者名(英語): Tomohiro Kosuge (Graduate School of Informatics and Engineering, The University of Electro-Communications), Naoaki Itakura (Graduate School of Informatics and Engineering, The University of Electro-Communications), Kazuyuki Mito (Graduate School of Informatics and Engineering, The University of Electro-Communications)
キーワード: 表面筋電図,筋線維伝導速度 surface EMG,MFCV
要約(英語): Muscular activity is investigated by analyzing the action potential generated by motor units. The multi-channel surface electromyogram (EMG) is used to analyze the conduction of muscle potential. It is recorded as the interference electric potential generated by motor units. The multi-channel surface EMG includes waveforms that conduct in several channels (conducting waves). We believe that it may be possible to analyze the change in surface muscle potential caused by muscular activity to examine the composition of conducting waves in the multi-channel surface EMG. Thus, we herein propose a new method by which to analyze the multi-channel surface EMG. The proposed method involves searching all conducting waves appearing quantitatively in the multi-channel surface EMG to calculate the similarity of the waveforms. Using this method, which is referred to as the multi-channel method for conducting waves (m-ch method), various types of data for each wave, including the conduction velocity and amplitude, over channels can be examined. Using the m-ch method, we analyzed the multi-channel surface EMG for subjects holding a load. Moreover, we examined the change in the composition of conducting waves. We believe that muscular activity can be analyzed based on conducting waves from the surface EMG.
本誌: 電気学会論文誌C(電子・情報・システム部門誌) Vol.134 No.3 (2014) 特集:情報環境と人間の調和に向けた工学技術
本誌掲載ページ: 390-397 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/134/3/134_390/_article/-char/ja/
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