Neural networks for detection and classification of walking pattern changes due to ageing

Australasian Physical and Engineering Sciences in Medicine

Volumn 29, Issue 2, 2006, Pages 188-195

  Begg, Rezaul ^a   Kamruzzaman, J ^b  

^a VICTORIA UNIVERSITY   (Australia)

^b UNIVERSITY OF BALLARAT   (Australia)

Author keywords

Ageing; Feature selection; Gait analysis; Neural networks

Indexed keywords

FUNCTIONAL ASSESSMENT; GAIT ANALYSIS; HUMAN REHABILITATION ENGINEERING; NEURAL NETWORKS;

BALANCE CONTROL MECHANISMS; CROSS-VALIDATION TEST; FEATURE SELECTION; WALKING PATTERNS;

BIOMEDICAL ENGINEERING;

ADULT; AGE DISTRIBUTION; AGED; AGING; ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; AUTOMATED PATTERN RECOGNITION; AUTOMATION; BAYES THEOREM; BIOMECHANICS; BODY EQUILIBRIUM; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; FEMALE; GAIT DISORDER; HUMAN; HUMAN EXPERIMENT; KINEMATICS; LOCOMOTION; MALE; MATHEMATICAL COMPUTING; NORMAL HUMAN; RECEIVER OPERATING CHARACTERISTIC; SENSITIVITY AND SPECIFICITY; VALIDATION STUDY;

EID: 33746066002     PISSN: 01589938     EISSN: None     Source Type: Journal    
DOI: 10.1007/BF03178892     Document Type: Article

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