Inverse estimation of multiple muscle activations under isokinetic condition

Zhan Li, Mitsuhiro Hayashibe, David Guiraud

研究成果: Chapter

抄録

Electromyogram (EMG) is a useful technique for recording activation process by measuring a summation of motor unit action potentials (MUAP) produced by muscles. EMG signals have been acquired and processed to establish mappings between muscle activation, torque or/and joint position. A common way for constructing such relationship is to use torque, position and multiple-channel EMG signals. In this paper, all three muscles’ activations are estimated through torque and position information via using multi-output regression. Results show that such approach is effective in multiple muscle(s) activations (EMG) identification and predictions.

本文言語English
ホスト出版物のタイトルBiosystems and Biorobotics
出版社Springer International Publishing
ページ347-351
ページ数5
DOI
出版ステータスPublished - 2013
外部発表はい

出版物シリーズ

名前Biosystems and Biorobotics
1
ISSN(印刷版)2195-3562
ISSN(電子版)2195-3570

ASJC Scopus subject areas

  • 生体医工学
  • 機械工学
  • 人工知能

フィンガープリント

「Inverse estimation of multiple muscle activations under isokinetic condition」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル