• DocumentCode
    3025717
  • Title

    Pattern recognition applied to the prediction of post-operative gait in man

  • Author

    Chang, C.W. ; Bekey, G.A.

  • Author_Institution
    Edwards Laboratories, Santa Ana, California
  • fYear
    1979
  • fDate
    10-12 Jan. 1979
  • Firstpage
    787
  • Lastpage
    788
  • Abstract
    The application of pattern recognition methods to the analysis of human gait is presented. Pattern features to describe both normal and abnormal walking are derived from measurements of the electrical activity of muscles at the ankle. Least-squares techniques are used to obtain a transformation matrix which predicts the change in the gait pattern vector following surgery on the ankle. The results obtained from applying this method to actual data from 12 patients are discussed.
  • Keywords
    Electromyography; Feature extraction; Foot; Humans; Laboratories; Legged locomotion; Muscles; Pattern recognition; Surgery; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control including the 17th Symposium on Adaptive Processes, 1978 IEEE Conference on
  • Conference_Location
    San Diego, CA, USA
  • Type

    conf

  • DOI
    10.1109/CDC.1978.268035
  • Filename
    4046222
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3025717