• DocumentCode
    1598814
  • Title

    An improved method for muscle activation detection during gait

  • Author

    Xu, Lanyi ; Adler, Andy

  • Author_Institution
    Sch. of Inf. Technol. & Eng., Univ. of Ottawa, Ont., Canada
  • Volume
    1
  • fYear
    2004
  • Firstpage
    357
  • Abstract
    Estimation of on-off timing of human skeletal muscles during movement based on surface electromyography (EMG) is an important issue in sport performance and health care applications. Several methods have been proposed for detecting the on and off timing of the muscle. However, little is known about the reliability and accuracy of these methods, which frequently rely on intuitive and heuristic criteria. Some sophisticated techniques have been proposed, but have a disadvantage of heavy computational load and therefore are not suitable for real-time online applications. An improved method is proposed based on the double-threshold method of P. Bonato et al. (see IEEE Trans. Biomed. Eng., vol.45, p.287-99, 1998). It provides a higher sensitivity for activation detection. In addition, the whitening process of the EMG signal is avoided, significantly reducing the computation time.
  • Keywords
    electromyography; gait analysis; medical signal detection; medical signal processing; parameter estimation; timing; computational load; double-threshold method; gait analysis; health care; human skeletal muscles; muscle activation detection; muscle on-off timing estimation; signal detection; signal whitening; sport performance; surface EMG; surface electromyography; Detectors; Electric variables measurement; Electromyography; Gaussian noise; Gaussian processes; Information technology; Muscles; Noise measurement; Probability distribution; Timing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Computer Engineering, 2004. Canadian Conference on
  • ISSN
    0840-7789
  • Print_ISBN
    0-7803-8253-6
  • Type

    conf

  • DOI
    10.1109/CCECE.2004.1345029
  • Filename
    1345029