• DocumentCode
    1983911
  • Title

    Model-based development of neuroprostheses for restoring proximal arm function

  • Author

    Kirsch, Robert F. ; Acosta, Ana Maria

  • Author_Institution
    Dept. of Biomed. Eng., Case Western Reserve Univ., Cleveland, OH, USA
  • Volume
    4
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    4075
  • Abstract
    Neuroprostheses using functional neuromuscular stimulation (FNS) have the potential to restore elbow and shoulder function lost to paralysis due to spinal cord injury (SCI). The human shoulder is highly flexible and thus provides a large range of motion to the arm and hand, although at the expense of precarious stability of the articulations. The complexity of the shoulder has prevented widespread use of FNS at this joint. However, musculoskeletal modeling of the elbow and shoulder has the potential to significantly speed the development of neuroprostheses by allowing many mechanical issues to be resolved in simulation prior to implementation in human subjects. This paper describes our rationale for the use of musculoskeletal modeling, the model we are using, and several practical applications of the model to study the potential use of shoulder and elbow muscle FNS to restore function following cervical SCI.
  • Keywords
    biocontrol; biomechanics; neuromuscular stimulation; physiological models; prosthetics; FNS; arm; articulations; cervical spinal cord injury; elbow function; functional neuromuscular stimulation; hand; high tetraplegia; highly flexible human shoulder; human subjects; mechanical issues; musculoskeletal modeling; neuroprostheses; paralysis; practical applications; precarious stability; proximal arm function restoration; shoulder complexity; shoulder function; simulation; Elbow; Humans; Joints; Muscles; Musculoskeletal system; Shoulder; Spinal cord injury; Stability; Surges; Thorax;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2001. Proceedings of the 23rd Annual International Conference of the IEEE
  • ISSN
    1094-687X
  • Print_ISBN
    0-7803-7211-5
  • Type

    conf

  • DOI
    10.1109/IEMBS.2001.1019748
  • Filename
    1019748