Gait classification in post-stroke patients using artificial neural networks

Gait and Posture

Volumn 30, Issue 2, 2009, Pages 207-210

  Kaczmarczyk, Katarzyna ^a   Wit, Andrzej ^a,b   Krawczyk, Maciej ^a,c   Zaborski, Jacek ^d  

^a JÓZEF PI SUDSKI UNIVERSITY OF PHYSICAL EDUCATION IN WARSAW   (Poland)

^b Almamer Higher School of Economics   (Poland)

^c INSTITUTE OF PSYCHIATRY AND NEUROLOGY   (Poland)

^d Institute of Neurology   (Poland)

Author keywords

ANN analysis; Gait patterns; Hemiplegia; Stroke

Indexed keywords

ACCURACY; ADULT; ARTICLE; ARTIFICIAL NEURAL NETWORK; BRAIN HEMORRHAGE; CEREBROVASCULAR ACCIDENT; CONTROLLED STUDY; FEMALE; GAIT; HUMAN; INTERMETHOD COMPARISON; KINEMATICS; MAJOR CLINICAL STUDY; MALE; PRIORITY JOURNAL; QUALITATIVE ANALYSIS; QUANTITATIVE ANALYSIS; STROKE;

ADULT; AGED; ARTHROMETRY, ARTICULAR; BIOMECHANICS; CLUSTER ANALYSIS; DIAGNOSIS, COMPUTER-ASSISTED; DISCRIMINANT ANALYSIS; FEMALE; GAIT DISORDERS, NEUROLOGIC; HEMIPLEGIA; HUMANS; MALE; MIDDLE AGED; NEURAL NETWORKS (COMPUTER); STROKE;

EID: 67649499837     PISSN: 09666362     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.gaitpost.2009.04.010     Document Type: Article

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