• DocumentCode
    1641099
  • Title

    Wavelet transform analysis of vibroarthrographic (VAG) signals obtained during dynamic knee movement

  • Author

    Zhang, Y.T. ; Rolston, W.A. ; Rangayyan, Rangaraj M. ; Frank, C.B. ; Bell, G.D.

  • Author_Institution
    Calgary Univ., Alta., Canada
  • fYear
    1992
  • Firstpage
    235
  • Lastpage
    238
  • Abstract
    The vibroarthrographic (VAG) signal can be measured on the skin surface of human knee joints during their relative movements. The nonstationary nature of the VAG signal makes frequency domain analysis using conventional Fourier methods difficult. Wavelet transform (WT) analysis is proposed. Results show that the method of multiresolution decomposition can localize events in the joint angle (time) and scale (frequency) planes. This dual localization property of the WT is particularly useful in studying VAG signals, where frequency spectra at various joint angles are required for diagnostic purposes
  • Keywords
    biomechanics; medical signal processing; wavelet transforms; dynamic knee movement; frequency domain analysis; frequency spectra; human knee joints; multiresolution decomposition; skin surface; vibroarthrographic signals; wavelet transform analysis; Accelerometers; Frequency; Humans; Joints; Knee; Pathology; Signal analysis; Signal processing; Wavelet analysis; Wavelet transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Time-Frequency and Time-Scale Analysis, 1992., Proceedings of the IEEE-SP International Symposium
  • Conference_Location
    Victoria, BC
  • Print_ISBN
    0-7803-0805-0
  • Type

    conf

  • DOI
    10.1109/TFTSA.1992.274194
  • Filename
    274194