• DocumentCode
    333152
  • Title

    Experimental tests of a musculoskeletal model of the elbow joint for FES applications

  • Author

    Watanabe, Takash ; Nozawa, Tsuneyuki ; Eom, Gwang-Moon ; Ohba, Shigeo ; Futami, Ryoko ; Hoshimiya, Nozomu ; Handa, Yasunobu

  • Author_Institution
    Dept. of Electron. Eng., Tohoku Univ., Sendai, Japan
  • Volume
    5
  • fYear
    1998
  • fDate
    28 Oct-1 Nov 1998
  • Firstpage
    2594
  • Abstract
    Computer model prediction of motions developed by functional electrical stimulation (FES) can be effective for clinical applications. The musculoskeletal model that responds to electrical stimulation is necessary for the model prediction. In this paper, a musculoskeletal model of the elbow joint was tested experimentally on a normal subject with surface electrode stimulation. In the musculoskeletal model, the musculotendon guide that reflects geometrical arrangement of muscles was adopted. Parameters in the muscle model were adapted to the subject based on the force measured under the isometric condition. The output of the tuned model agreed well with experimental results of the single muscle stimulation at high amplitude of stimulation and results of the simultaneous antagonistic stimulation in some stimulus conditions
  • Keywords
    biocontrol; biomechanics; neuromuscular stimulation; physiological models; FES applications; computer model prediction; control model; elbow joint; geometrical arrangement of muscles; high amplitude; isometric condition; lumped model; motion prediction; musculoskeletal model; musculotendon guide; simultaneous antagonistic stimulation; single muscle stimulation; surface electrode stimulation; tuned model; Application software; Elbow; Electrical stimulation; Electrodes; Force measurement; Muscles; Musculoskeletal system; Neuromuscular stimulation; Predictive models; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 1998. Proceedings of the 20th Annual International Conference of the IEEE
  • Conference_Location
    Hong Kong
  • ISSN
    1094-687X
  • Print_ISBN
    0-7803-5164-9
  • Type

    conf

  • DOI
    10.1109/IEMBS.1998.744988
  • Filename
    744988