Support Vector Machines for detecting recovery from knee replacement surgery using quantitative gait measures

Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

Volumn , Issue , 2007, Pages 4875-4878

  Levinger, Pazit ^b   Lai, Daniel T H ^c   Webster, Kate ^b   Begg, Rezaul K ^a,d   Feller, Julian ^b  

^a IEEE

^b LA TROBE UNIVERSITY   (Australia)

^c UNIVERSITY OF MELBOURNE   (Australia)

^d VICTORIA UNIVERSITY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

FEATURE EXTRACTION; GAIT ANALYSIS; MEDICAL PROBLEMS; SUPPORT VECTOR MACHINES; TRANSPLANTATION (SURGICAL);

KNEE REPLACEMENT SURGERY; SPATIO-TEMPORAL MEASURES;

HUMAN REHABILITATION ENGINEERING;

AGED; ARTICLE; ARTIFICIAL INTELLIGENCE; BIOMECHANICS; GAIT; HUMAN; KNEE ARTHROPLASTY; KNEE OSTEOARTHRITIS; ORTHOSIS; WALKING; WEIGHT BEARING;

AGED; ARTHROPLASTY, REPLACEMENT, KNEE; ARTIFICIAL INTELLIGENCE; BIOMECHANICAL PHENOMENA; GAIT; HUMANS; ORTHOTIC DEVICES; OSTEOARTHRITIS, KNEE; WALKING; WEIGHT-BEARING;

EID: 57649195599     PISSN: 05891019     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2007.4353432     Document Type: Conference Paper

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