Relating clinical and neurophysiological assessment of spasticity by machine learning

International Journal of Medical Informatics

Volumn 49, Issue 2, 1998, Pages 243-251

  Zupan, Blaž ^a   Stokić, Dobrivoje S ^a   Bohanec, Marko ^a   Priebe, Michael M ^b,c   Sherwood, Arthur M ^b  

^a JO EF STEFAN INSTITUTE   (Slovenia)

^b BAYLOR COLLEGE OF MEDICINE   (United States)

^c MICHAEL E DEBAKEY VETERANS AFFAIRS MEDICAL CENTER   (United States)

Author keywords

Ashworth score; Classification; Clinical assessment of spasticity; Discriminant analysis; Machine learning; Neurophysiological assessment of spasticity; Spasticity assessment

Indexed keywords

ELECTROMYOGRAPHY; FUNCTIONAL ASSESSMENT; LEARNING SYSTEMS; MANUAL CONTROL; MUSCULOSKELETAL SYSTEM; NEUROPHYSIOLOGY;

ASHWORTH SCORE (AS); SPASTICITY; SPINAL CORD INJURY (SCI);

COMPUTER AIDED DIAGNOSIS;

CONFERENCE PAPER; DISCRIMINANT ANALYSIS; ELECTROMYOGRAM; MOTOR CONTROL; NEUROPHYSIOLOGY; PRIORITY JOURNAL; SPASTICITY; SPINAL CORD INJURY;

ARTIFICIAL INTELLIGENCE; ELECTROMYOGRAPHY; HUMANS; MUSCLE SPASTICITY; NEUROLOGIC EXAMINATION; SPINAL CORD INJURIES;

EID: 0032054386     PISSN: 13865056     EISSN: None     Source Type: Journal    
DOI: 10.1016/S1386-5056(98)00043-4     Document Type: Conference Paper

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