• DocumentCode
    3179818
  • Title

    Estimation of Muscle Fatigue during Cyclic Contractions Using Source Separation Techniques

  • Author

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

  • Author_Institution
    Sch. of Electr. & Comput. Eng., RMIT Univerisity, Melbourne, VIC, Australia
  • fYear
    2009
  • fDate
    1-3 Dec. 2009
  • Firstpage
    217
  • Lastpage
    222
  • 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.
  • Keywords
    electromyography; fatigue; independent component analysis; source separation; cyclic contractions; independent component analysis; muscle fatigue estimation; source separation techniques; spectral compression; surface electromyogram; Electromyography; Fatigue; Frequency estimation; Frequency synchronization; Independent component analysis; Life estimation; Muscles; Optical fiber polarization; Recruitment; Source separation; ICA; Muscle fatigue; Source separation; Surface EMG;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Digital Image Computing: Techniques and Applications, 2009. DICTA '09.
  • Conference_Location
    Melbourne, VIC
  • Print_ISBN
    978-1-4244-5297-2
  • Electronic_ISBN
    978-0-7695-3866-2
  • Type

    conf

  • DOI
    10.1109/DICTA.2009.43
  • Filename
    5384982