Correlation among joint motions allows classification of parkinsonian versus normal 3-D reaching

IEEE Transactions on Neural Systems and Rehabilitation Engineering

Volumn 18, Issue 2, 2010, Pages 142-149

  Chan, Jacky ^a   Leung, Howard ^a   Poizner, Howard ^b  

^a CITY UNIVERSITY OF HONG KONG   (Hong Kong)

^b UNIVERSITY OF CALIFORNIA SAN DIEGO   (United States)

Author keywords

Medical diagnosis; Motion analysis; Signal classification

Indexed keywords

CROSS CORRELATIONS; JOINT MOTION; JOINT MOVEMENT; K-NEAREST NEIGHBORS; LEAST SQUARE SUPPORT VECTOR MACHINES; MEDICAL DIAGNOSIS; MOTION ANALYSIS; OBJECTIVE ASSESSMENT; PARKINSON DISEASE; PARKINSON'S DISEASE; SIGNAL CLASSIFICATION;

CONFORMAL MAPPING; CORRELATION METHODS; DIAGNOSIS; DISEASES; FUZZY CONTROL; SUPPORT VECTOR MACHINES;

CLASSIFICATION (OF INFORMATION);

AGED; ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; BIOMECHANICS; DISEASE COURSE; ELBOW; FACTUAL DATABASE; FEMALE; HAND; HUMAN; INFORMATION PROCESSING; INNERVATION; JOINT; MALE; MIDDLE AGED; MOTION; MOVEMENT (PHYSIOLOGY); PARKINSON DISEASE; PATHOPHYSIOLOGY; PHYSIOLOGY; PSYCHOMOTOR PERFORMANCE; WRIST;

AGED; ALGORITHMS; ARTIFICIAL INTELLIGENCE; BIOMECHANICS; DATA COLLECTION; DATABASES, FACTUAL; DISEASE PROGRESSION; ELBOW JOINT; FEMALE; HAND; HUMANS; JOINTS; MALE; MIDDLE AGED; MOTION; MOVEMENT; PARKINSON DISEASE; PSYCHOMOTOR PERFORMANCE; WRIST JOINT;

EID: 77951891710     PISSN: 15344320     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNSRE.2009.2023296     Document Type: Article

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