Estimation of muscle fatigue during cyclic contractions using source separation techniques

Ganesh R. Naik, Dinesh K. Kumar, Katherine Wheeler, Sridhar P. Arjunan

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

10 Citations (Scopus)

Abstract

Previous research studies have reported that spectral compression of the surface Electromyogram (SEMG) towards lower frequencies is associated with onset of localized muscle fatigue. One reason for this spectral compression has been attributed to motor unit synchronization in literature. According to this, motor units are pseudo randomly excited during muscle contraction, and the recruitment pattern changes during the onset of muscle fatigue, such that the firing of motor units becomes more synchronized. While this theory is widely accepted, there is little experimental proof of the phenomenon. This paper has used source dependence properties and measures developed in research related to independent component analysis (ICA) to test for synchronization. This paper has also determined that the global matrix can be used as a measure for estimating localized muscle fatigue during cyclic movements.

Original languageEnglish
Title of host publication2009 Digital Image Computing
Subtitle of host publicationTechniques and Applications
PublisherIEEE
Pages217-222
Number of pages6
ISBN (Print)9780769538662
DOIs
Publication statusPublished - 2009
Externally publishedYes
EventDigital Image Computing: Techniques and Applications, DICTA 2009 - Melbourne, VIC, Australia
Duration: 1 Dec 20093 Dec 2009

Conference

ConferenceDigital Image Computing: Techniques and Applications, DICTA 2009
CountryAustralia
CityMelbourne, VIC
Period1/12/093/12/09

Keywords

  • ICA
  • Muscle fatigue
  • Source separation
  • Surface EMG

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