格子状表面電極を用いた多チャンネル表面筋電図伝播波解析による筋線維走行方向推定

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: 2023/04/01

タイトル(英語): Estimation of Muscle Fiber Direction by Multi-channel Surface EMG Conductiong Wave Analysis Using Grid Surface Electrodes

著者名: 小菅　智裕（北里大学 医療衛生学部），川口　太優（北里大学 医療衛生学部），熊谷　寛（北里大学 医療衛生学部）

著者名(英語): Tomohiro Kosuge (School of Allied Health Sciences, Kitasato University), Taiyu Kawaguchi (School of Allied Health Sciences, Kitasato University), Hiroshi Kumagai (School of Allied Health Sciences, Kitasato University)

キーワード: 表面筋電図，運動単位，活動電位，格子状表面電極　　surface EMG，Motor Unit，Action Potential，Grid Surface Electrodes

要約(英語): Skeletal muscle is a set of motor units (MU). Muscle contractile activity is carried out by regulating the firing frequency of MU and the types of muscle fibers to be mobilized. Multi-channel surface electromyogram (sEMG) contains many conducting waves that represent a single motor unit action potentials (MUAP). In previous study, we proposed a method to extract conducting waves quantitatively and automatically. This method is useful for elucidating mobilized MUs and can be applied to kinematic analysis and diagnosis of muscle diseases. In multi-channel sEMG measurement, rows of electrodes need to be applied along the direction of the muscle fibers. However, the electrodes are difficult to set because the direction of the muscle fibers cannot be visually confirmed on the skin. This study investigated a method for estimating muscle fiber direction by analyzing conducting waves from two-dimensional multichannel surface electromyograms using grid-shaped surface electrodes. By examining the number of conducting waves acquired in each direction of the electrode row, it was suggested that the direction of muscle fiber may be estimated from the direction with the largest number of propagating wave acquisitions. It was also found that the method of acquiring differential potential signals has a significant impact on the analysis of propagation direction.

本誌: 電気学会論文誌C（電子・情報・システム部門誌） Vol.143 No.4 （2023） 特集：医療/ヘルスケア×AI－量子・情報・エレクトロニクスの応用として

本誌掲載ページ: 413-419 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/143/4/143_413/_article/-char/ja/