• DocumentCode
    828096
  • Title

    The identification of time series models of lower extremity EMG for the control of prostheses using Box-Jenkins criteria

  • Author

    Triolo, R.J. ; Nash, D.H. ; Moskowitz, Gordon D.

  • Author_Institution
    Shriners Hosp. for Crippled Children, Philadelphia, PA, USA
  • Volume
    35
  • Issue
    8
  • fYear
    1988
  • Firstpage
    584
  • Lastpage
    594
  • Abstract
    The Box-Jenkins method of model identification and diagnostic checking was used on the EMG of the posterio-lateral thigh while contraction level, electrode position, and limb function were varied. Models remained exclusively autoregressive (AR) of order typically less than five for isometric contractions ranging from 25 to 50% of the maximum voluntary knee flexions and extensions, and for recording sites located within 30 mm of the original electrode position. Diagnostics performed on the residuals from AR(4) models indicate that a fourth-order model is adequate for myoelectric control applications under many circumstances.
  • Keywords
    artificial limbs; bioelectric potentials; identification; muscle; physiological models; Box-Jenkins criteria; autoregressive models; contraction level; diagnostic checking; electrode position; isometric contractions; knee extensions; limb function; lower extremity EMG; maximum voluntary knee flexions; model identification; myoelectric control; posterio-lateral thigh; prosthesis control; time series models; Electrodes; Electromyography; Extremities; Filters; Knee; Predictive models; Prosthetics; Signal processing; Thigh; White noise; Electromyography; Humans; Isometric Contraction; Knee Prosthesis; Leg; Models, Biological; Muscles; Prosthesis Design; Self-Help Devices; Time Factors;
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9294
  • Type

    jour

  • DOI
    10.1109/10.4591
  • Filename
    4591