• DocumentCode
    429139
  • Title

    Using system identification to model the transmission of vibroarthrographic signals

  • Author

    Dempsey, Erika J. ; Bell, G. Douglas ; Westwick, David T.

  • Author_Institution
    Dept. of Elec. & Comp. Eng., Calgary Univ., Alta., Canada
  • Volume
    1
  • fYear
    2004
  • fDate
    1-5 Sept. 2004
  • Firstpage
    718
  • Lastpage
    721
  • Abstract
    Vibroarthrographic signals have been proposed as a noninvasive tool for the diagnosis of joint injury. Models of VAG generation and transmission are required before application of this technique can begin. An experiment has been designed and performed to estimate sound transmission in the human knee at set joint angles. Linear frequency domain models and linear and nonlinear time domain models were estimated from the experimental data. Linear models with high accuracy were identified for knees at an angle of 90°. Models identified from angles below 90° had relatively low accuracy.
  • Keywords
    bioacoustics; biomechanics; bone; physiological models; vibrations; human knee; joint injury diagnosis; linear frequency domain models; linear time domain models; nonlinear time domain models; sound transmission; system identification; vibroarthrographic signal transmission; Anatomy; Diseases; Humans; Joints; Knee; Magnetic resonance imaging; Pathology; Signal processing; System identification; Vibration measurement; Vibroarthrogram; knee joint; piezo-electric actuator; system identi fi cation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2004. IEMBS '04. 26th Annual International Conference of the IEEE
  • Conference_Location
    San Francisco, CA
  • Print_ISBN
    0-7803-8439-3
  • Type

    conf

  • DOI
    10.1109/IEMBS.2004.1403259
  • Filename
    1403259