• DocumentCode
    2224661
  • Title

    Spectral analysis of myoelectric signals by wavelet methods

  • Author

    Karlsson, Stefan ; Yu, Jun ; Akay, Metin

  • Author_Institution
    Dept. of Biomed. Eng., Univ. Hosp., Umea, Sweden
  • fYear
    1998
  • fDate
    15-18 Feb 1998
  • Firstpage
    33
  • Lastpage
    34
  • Abstract
    The wavelet packet method is introduced as an alternative method for spectral analysis of surface myoelectric (ME) signals. Both computer synthesised and real myoelectric signals during static contractions are investigated, and the results show that the wavelet packet method performs equally well as the Fourier method. Moreover, wavelet packets give one some advantage over the traditional methods such as multiresolution of frequency, as well as its potential use for effecting time-frequency decomposition of the nonstationary signals such as the ME signals during dynamic contractions. The wavelet shrinkage method is also introduced for improving spectral estimates by reducing the mean square errors for both Fourier and wavelet packets estimates
  • Keywords
    electromyography; medical signal processing; spectral analysis; wavelet transforms; Fourier method; computer synthesised myoelectric signals; dynamic contractions; electrodiagnostics; frequency multiresolution; mean square errors reduction; nonstationary signals; real myoelectric signals; time-frequency decomposition; wavelet packet method; wavelet shrinkage method; Knee; Mathematical model; Mean square error methods; Muscles; Signal analysis; Signal synthesis; Spectral analysis; Time frequency analysis; Wavelet analysis; Wavelet packets;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioelectromagnetism, 1998. Proceedings of the 2nd International Conference on
  • Conference_Location
    Melbourne, Vic.
  • Print_ISBN
    0-7803-3867-7
  • Type

    conf

  • DOI
    10.1109/ICBEM.1998.666381
  • Filename
    666381