Inverse estimation of multiple muscle activations under isokinetic condition

Zhan Li, Mitsuhiro Hayashibe, David Guiraud

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

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.

Original languageEnglish
Title of host publicationBiosystems and Biorobotics
PublisherSpringer International Publishing
Pages347-351
Number of pages5
DOIs
Publication statusPublished - 2013 Jan 1
Externally publishedYes

Publication series

NameBiosystems and Biorobotics
Volume1
ISSN (Print)2195-3562
ISSN (Electronic)2195-3570

ASJC Scopus subject areas

  • Biomedical Engineering
  • Mechanical Engineering
  • Artificial Intelligence

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