Classification of Parkinson's disease gait using spatial-temporal gait features

IEEE Journal of Biomedical and Health Informatics

Volumn 19, Issue 6, 2015, Pages 1794-1802

  Wahid, Ferdous ^a   Begg, Rezaul K ^b   Hass, Chris J ^c   Halgamuge, Saman ^a   Ackland, David C ^a  

^a UNIVERSITY OF MELBOURNE   (Australia)

^b VICTORIA UNIVERSITY   (Australia)

^c UNIVERSITY OF FLORIDA   (United States)

Author keywords

Biomechanics; Machine learning; Regression model; Walking

Indexed keywords

BIOMECHANICS; DECISION TREES; DIAGNOSIS; GAIT ANALYSIS; LEARNING SYSTEMS; NEURODEGENERATIVE DISEASES; SUPPORT VECTOR MACHINES;

KERNEL FISHER DISCRIMINANT; MULTIPLE REGRESSION APPROACH; MULTIPLE REGRESSION METHODS; MULTIPLE REGRESSIONS; NORMALIZATION STRATEGIES; PARKINSON'S DISEASE; REGRESSION MODEL; WALKING;

SUPPORT VECTOR REGRESSION;

AGED; FEMALE; GAIT; HUMAN; IMAGE PROCESSING; MACHINE LEARNING; MALE; MIDDLE AGED; PARKINSON DISEASE; PATHOPHYSIOLOGY; PHYSIOLOGY; PROCEDURES; REGRESSION ANALYSIS; SPATIOTEMPORAL ANALYSIS; VERY ELDERLY; VIDEORECORDING; WALKING;

AGED; AGED, 80 AND OVER; FEMALE; GAIT; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MACHINE LEARNING; MALE; MIDDLE AGED; PARKINSON DISEASE; REGRESSION ANALYSIS; SPATIO-TEMPORAL ANALYSIS; VIDEO RECORDING; WALKING;

EID: 84959250538     PISSN: 21682194     EISSN: 21682208     Source Type: Journal    
DOI: 10.1109/JBHI.2015.2450232     Document Type: Article

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