• DocumentCode
    1817183
  • Title

    The inverse identification of neuromuscular system by using neural networks in elbow function self-correcting system

  • Author

    Li, Yong ; Lan, Ning ; Yang, Fusheng

  • Author_Institution
    Dept. of Physiology, Northwestern Univ. Med. Sch., Chicago, IL, USA
  • Volume
    1
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    229
  • Abstract
    Elbow functional restoration is a way to generate stimulating signals to help paraplegia patients restore their movement function. The paper introduces a new way to generate stimulating signals automatically according to the patients physiological parameters by using artificial neural networks. The inverse identification of the neuromuscular system is an important part in this system
  • Keywords
    biocontrol; biomechanics; identification; learning (artificial intelligence); neuromuscular stimulation; patient rehabilitation; recurrent neural nets; elbow function self-correcting system; elbow functional restoration; inverse identification; neuromuscular system; paraplegia patients; physiological parameters; stimulating signals; Biological neural networks; Control systems; Elbow; Intelligent networks; Neural networks; Neuromuscular; Recurrent neural networks; Signal generators; Signal restoration; Spinal cord;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 1999. IJCNN '99. International Joint Conference on
  • Conference_Location
    Washington, DC
  • ISSN
    1098-7576
  • Print_ISBN
    0-7803-5529-6
  • Type

    conf

  • DOI
    10.1109/IJCNN.1999.831491
  • Filename
    831491
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1817183