• DocumentCode
    1214589
  • Title

    Gaitspert: An Expert System for the Evaluation of Abnormal Human Locomotion Arising from Stroke

  • Author

    Dzierzanowski, James M. ; Bourne, John R. ; Shiavi, Richard ; Sandell, Henrik S.H. ; Guy, D.

  • Author_Institution
    Inference Corporation
  • Issue
    11
  • fYear
    1985
  • Firstpage
    935
  • Lastpage
    942
  • Abstract
    This paper describes the implementation and use of a knowledge-based system for the evaluation of abnormal human locomotion arising from cerebral vascular accidents (CVA). An expert system (GAITSPERT) that is knowledgeable about the evaluation of human gait has been implemented primarily as a clinical tool that can produce assessments of underlying stroke disease states and recommendations about therapeutic interventions. GAITSPERT combines artificial intelligence (AI) analysis methodologies with biomedical signal acquisition and evaluation providing intelligent processing of kinematic, electromyographic (EMG), and foot-switch data. GAITSPERT was constructed using GENIE, a general-purpose knowledge-enginering tool, and a knowledge base of stroke-related facts about neuromuscular disabilities.
  • Keywords
    Accidents; Artificial intelligence; Diseases; Expert systems; Humans; Kinematics; Knowledge based systems; Medical expert systems; Signal analysis; Signal processing; Cerebral Infarction; Computers; Gait; Humans; Movement Disorders; Software;
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9294
  • Type

    jour

  • DOI
    10.1109/TBME.1985.325626
  • Filename
    4121970