Automatic classification of asymptomatic and osteoarthritis knee gait patterns using kinematic data features and the nearest neighbor classifier

IEEE Transactions on Biomedical Engineering

Volumn 55, Issue 3, 2008, Pages 1230-1232

  Mezghani, Neila ^a   Husse, Sabine ^b   Boivin, Karine ^a,c   Turcot, Katia ^a,d   Aissaoui, Rachid ^e   Hagemeister, Nicola ^e   De Guise, Jacques A ^e  

^a NOTRE DAME HOSPITAL   (Canada)

^b Hermes Medical Solutions Canada Inc   (Canada)

^c ÉCOLE POLYTECHNIQUE DE MONTRÉAL   (Canada)

^d UNIVERSITÉ DE MONTRÉAL   (Canada)

^e TELUQ University   (Canada)

Author keywords

3 D ground reaction forces (GRF); Gait pattern; Nearest neighbor classifier (NNC); Osteoarthritis knee (OA); Polynomial expansion; Wavelet decomposition

Indexed keywords

COMPUTER AIDED ANALYSIS; DATA STRUCTURES; FEATURE EXTRACTION; POLYNOMIALS; WAVELET DECOMPOSITION;

GAIT PATTERN; NEAREST NEIGHBOR CLASSIFIER (NNC); OSTEOARTHRITIS KNEE (OA); POLYNOMIAL EXPANSION;

GAIT ANALYSIS;

ARTICLE; AUTOMATION; CLINICAL ARTICLE; FORCE; GAIT; HUMAN; KINEMATICS; KNEE OSTEOARTHRITIS; VALIDITY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BIOMECHANICS; DIAGNOSIS, COMPUTER-ASSISTED; GAIT; HUMANS; KNEE JOINT; OSTEOARTHRITIS, KNEE; PATTERN RECOGNITION, AUTOMATED; PHYSICAL EXAMINATION;

EID: 39749157174     PISSN: 00189294     EISSN: None     Source Type: Journal    
DOI: 10.1109/TBME.2007.905388     Document Type: Article

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