Hierarchical analysis and classification of asymptomatic and knee osteoarthritis gait patterns using a wavelet representation of kinetic data and the nearest neighbor classifier

Journal of Mechanics in Medicine and Biology

Volumn 8, Issue 1, 2008, Pages 45-54

  Mezghani, Neila ^a   Boiven, Karine ^a   Turcot, Katia ^a   Aissaoui, Rachid ^a   Hagmeister, Nicola ^a   De Guise, Jacques A ^a  

^a NOTRE DAME HOSPITAL   (Canada)

Author keywords

Gait pattern; Knee osteoarthritis (OA); Nearest neighbor classifier (NNC); Osteoarthritis severity; Three dimensional (3D) ground reaction forces (GRF); Wavelets

Indexed keywords

EID: 41849101060     PISSN: 02195194     EISSN: None     Source Type: Journal    
DOI: 10.1142/S0219519408002474     Document Type: Conference Paper

References (15)

1. Chau T, A review of analytical techniques for gait data. Part 1: Fuzzy, statistical and fractal methods, Gait Posture 13(1):49-66, 2001.
2. Chan T, A review of analytical techniques for gait data. Part 2: Neural network and wavelet methods, Gait Posture 13(2):102-120, 2001.
3. Schllhorn W, Applications of artificial neural nets in clinical biomechanics, Clin Biomech 19(9):876-898, 2004.
4. Lafuente R, Belda JM, Sanches-Lacuesta J, Soler C, Prat J, Design and test of neural networks and statistical classifiers in computer-aided movement analysis: A case study on gait analysis, Clin Biomech 13(3):216-229, 1997.
5. Wu WL, Su FC, Potential of the back propagation neural network in the assessment of gait patterns in ankle arthrodesis, Clin Biomech 15(2):143-145, 2000.
6. Beynon MJ, Jones L, Holt CA, Classification of osteoarthritic and normal knee function using three-dimensional motion analysis and the Dempster Shafer theory of evidence, IEEE Trans Syst Man Cybern A Syst Hum 36(1):173-186, 2006.
7. Jones L, Beynon MJ, Holt CA, Roy S, An application of the Dempster Shafer theory of evidence to the classification of knee function and detection of improvement due to total knee replacement surgery, J Biomech 39(13):2512-2520, 2006.
8. Altman R, Asch E, Bloch D et al., Development of criteria for the classification and reporting of osteoarthritis. Classification of osteoarthritis of the knee. Diagnostic and Therapeutic Criteria Committee of the American Rheumatism Association, Arthritis Rheum 29(8):1039-1049, 1986.
9. Duda PO, Hart PE, Stork DG, Pattern Classification, John Wiley, New York, 2001.
10. Mallat S, A theory for multiresolution signal decomposition: The wavelet representation, IEEE Trans Pattern Anal Mach Intell 11 (7):674-693, 1989.
11. Cohen A, Kovacevic J, Wavelets: The mathematical background, Proc IEEE 84(4): 514-522, 1996.
12. Hastie T, Tibshirani R, Friedman J, The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Springer, New York, 2001.
13. Veenman CJ, Reinders MJT, The nearest subclass classifier: A compromise between the nearest mean and nearest neighbor classifier, IEEE Trans Pattern Anal Mach Intell 27(9):1417-1429, 2005.
14. Chu K, An introduction to sensitivity, specificity, predictive values and likelihood ratios, Emerg Med 11(3):175-181, 1999.
15. DeVita P, Hortobagyi T, Obesity is not associated with increased knee joint torque and power during level walking, J Biomech 36 9):1355-1362, 2003.