Identification of patellofemoral pain syndrome using a support vector machine approach

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

Volumn , Issue , 2007, Pages 3144-3147

  Lai, Daniel T H ^b   Levinger, Pazit ^c   Begg, Rezaul K ^a,d   Gilleard, Wendy ^e   Palaniswami, Marimuthu ^a,b  

^a IEEE

^b UNIVERSITY OF MELBOURNE   (Australia)

^c LA TROBE UNIVERSITY   (Australia)

^d VICTORIA UNIVERSITY   (Australia)

^e SOUTHERN CROSS UNIVERSITY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

BIOMECHANICS; FEATURE EXTRACTION; KINEMATICS; PATHOLOGY; SUPPORT VECTOR MACHINES;

BIOMECHANICAL FACTORS; CLASSIFICATION ACCURACY; DISORDERS;

MEDICAL PROBLEMS;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; EVALUATION STUDY; FEMALE; FOOT; GAIT; HUMAN; METHODOLOGY; PATELLOFEMORAL PAIN SYNDROME; PATHOPHYSIOLOGY; PHYSICAL EXAMINATION; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; DIAGNOSIS, COMPUTER-ASSISTED; FEMALE; FOOT; GAIT; HUMANS; PATELLOFEMORAL PAIN SYNDROME; PATTERN RECOGNITION, AUTOMATED; PHYSICAL EXAMINATION; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 57649185097     PISSN: 05891019     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2007.4352996     Document Type: Conference Paper

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