EMGを用いた筋線維タイプに基づく筋疲労推定モデルの構築

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: 2020/07/01

タイトル(英語): Estimation Model of Muscle Fatigue Based on Muscle Fiber Type Using Electromyography

著者名: 中島　浩輔（鳥取大学大学院持続性社会創生科学研究科），磯本　佳助（鳥取大学大学院工学研究科），櫛田　大輔（鳥取大学大学院工学研究科 (クロス情報科学研究センター)）

著者名(英語): Kosuke Nakashima (Graduate School of Sustainability Science, Tottori University), Keisuke Isomoto (Graduate School of Engineering, Tottori University), Daisuke Kushida (Graduate School of Engineering (Cross-Informatics Research Center), Tottori University)

キーワード: 筋活動電位，筋疲労，筋疲労時間，筋線維タイプ，推定モデル，定量化　　electromyography，muscle fatigue，muscle fatigue time，muscle fiber type，estimation model，quantification

要約(英語): In muscle rehabilitation and training, it is important to evaluate a patient's muscle state. In general, training is based on physical therapy, but there has not been quantitative assessment of the actual effects on muscles. The authors previously tried to quantify muscle fatigue and defined “Muscle-fatigue time (MFT)” as the quantitative evaluation index of muscle fatigue based on electromyography and the use ratio of the muscle fiber type. MFT is the time when the use ratio of the slow muscle fiber (Type I) and the fast muscle fiber (Type IIb) intersect. Furthermore, the authors also proposed a method to estimate MFT by modeling the relationship between each muscle load and MFT. This paper examines the appropriate evaluation method for MFT containing variation, and generalization performance of the constructed model.

本誌: 電気学会論文誌C（電子・情報・システム部門誌） Vol.140 No.7 （2020） 特集：2019年電子・情報・システム部門大会

本誌掲載ページ: 697-704 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/140/7/140_697/_article/-char/ja/