• DocumentCode
    2374250
  • Title

    Time-varying identification of the neuromuscular system. I. Human joint dynamics

  • Author

    MacNeil, J. Bart ; Kearney, Robert E. ; Hunter, Ian W.

  • Author_Institution
    Dept. of Biomed. Eng., McGill Univ., Montreal, Que., Canada
  • fYear
    1989
  • fDate
    27-28 Mar 1989
  • Firstpage
    147
  • Lastpage
    148
  • Abstract
    A time-varying system identification technique has been developed to track abrupt changes in system characteristics using ensemble input and output records. No a priori assumptions are required regarding the system structure, form of the nonstationary, or input characteristics. A simulation study has shown the method to be capable of tracking the time course of changes in human ankle-joint dynamics associated with an abrupt change in the level of voluntary activation. The method has proved to be robust in the presence of noise
  • Keywords
    biomechanics; identification; muscle; neurophysiology; time-varying systems; ankle-joint; biomechanics; human joint dynamics; neuromuscular system; neurophysiology; noise; simulation; time course; time-varying system identification; tracking; voluntary activation; Biological systems; Biomedical engineering; Equations; Humans; Neuromuscular; Noise robustness; Sampling methods; System identification; Time varying systems; Torque;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioengineering Conference, 1989., Proceedings of the 1989 Fifteenth Annual Northeast
  • Conference_Location
    Boston, MA
  • Type

    conf

  • DOI
    10.1109/NEBC.1989.36743
  • Filename
    36743