• DocumentCode
    1643516
  • Title

    An on-line learning neural network for discrimination of walk functions in paraplegics

  • Author

    Liu, R. ; Tong, L. ; Deng, J.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Notre Dame Univ., IN, USA
  • fYear
    1989
  • Firstpage
    1017
  • Abstract
    An online learning neural network is proposed for the problem of walking function discrimination in paraplegics. The perceptron convergence algorithm is incorporated into a three-layered network. The patients can train the network themselves, and the neural network can adapt to change in the condition of the patient and can perform the discrimination in real time
  • Keywords
    neural nets; discrimination in real time; discrimination of walk functions; neural network training; online learning neural network; paraplegics; perceptron convergence algorithm; three-layered network; Artificial neural networks; Computer networks; Electromyography; Intelligent networks; Legged locomotion; Lesions; Muscles; Neural networks; Neuromuscular stimulation; Pattern recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 1989., IEEE International Symposium on
  • Conference_Location
    Portland, OR
  • Type

    conf

  • DOI
    10.1109/ISCAS.1989.100524
  • Filename
    100524
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1643516