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
Link To Document :
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