Support vector machine for classification of walking conditions of persons after stroke with dropped foot

Human Movement Science

Volumn 28, Issue 4, 2009, Pages 504-514

  Lau, Hong yin ^a   Tong, Kai yu ^a   Zhu, Hailong ^a  

^a HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

Author keywords

Gait analysis; Locomotion; Stroke

Indexed keywords

ACCELEROMETER; ACCURACY; ADULT; ARTICLE; ARTIFICIAL NEURAL NETWORK; CLINICAL ARTICLE; CONTROLLED STUDY; DAILY LIFE ACTIVITY; ELECTROSTIMULATION; FEMALE; GAIT; GAIT DISORDER; HEMIPARESIS; HUMAN; KINEMATICS; LEG MOVEMENT; MACHINE LEARNING; MALE; MEDICINE; MOBILIZATION; PATTERN RECOGNITION; PERONEUS NERVE PARALYSIS; PROCESS MONITORING; RADIAL BASED FUNCTION; REHABILITATION; ROBOTICS; SIGNAL PROCESSING; STROKE; SUPPORT VECTOR MACHINE; WALKING;

ACCELERATION; ADULT; ALGORITHMS; BIOMECHANICS; COMPUTER GRAPHICS; DISABILITY EVALUATION; FEMALE; GAIT DISORDERS, NEUROLOGIC; HEMIPLEGIA; HUMANS; MALE; MIDDLE AGED; MONITORING, AMBULATORY; NEURAL NETWORKS (COMPUTER); SIGNAL PROCESSING, COMPUTER-ASSISTED; STROKE; WALKING;

EID: 67650465278     PISSN: 01679457     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.humov.2008.12.003     Document Type: Article

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