A system for real-time estimation of joint torque with evoked EMG under electrical stimulation

Zhan Li, Mitsuhiro Hayashibe, David Andreu, David Guiraud

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

Functional electrical stimulation (FES) is a useful rehabilitation technique for restoring motor capability of spinal cord injured (SCI) patients by artificially driving muscle contractions. Real-time FES systems with online modulation ability are in great need for clinical applications. In this work, a system for real-time estimation of joint torque with evoked electromyography (eEMG) is presented. Kalman filter (KF) is adopted and embedded into the system as the online torque estimator. The real-time estimation system would be promising toward FES control with consideration of torque changes caused by muscle fatigue.

Original languageEnglish
Pages (from-to)513-520
Number of pages8
JournalBiosystems and Biorobotics
Volume7
DOIs
Publication statusPublished - 2014
Externally publishedYes

ASJC Scopus subject areas

  • Biomedical Engineering
  • Mechanical Engineering
  • Artificial Intelligence

Fingerprint Dive into the research topics of 'A system for real-time estimation of joint torque with evoked EMG under electrical stimulation'. Together they form a unique fingerprint.

  • Cite this