Novel approach for spastic hemiplegia classification through the use of support vector machines

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

Volumn 26 I, Issue , 2004, Pages 466-469

  Salazar, A J ^a   De Castro, O C ^a   Bravo, R J ^a  

^a UNIVERSIDAD SIMÓN BOLÍVAR   (Venezuela)

Author keywords

Gait; Hemiplegia; Kinematics; Learning; Statistics; SVM

Indexed keywords

AUTOMATION; MATHEMATICAL MODELS; NEURAL NETWORKS; PATHOLOGY; PATTERN RECOGNITION; PHYSIOLOGY; POLYNOMIALS; VECTORS;

GAIT; HEMIPLEGIA; SMOOTHING FACTOR; SUPPORT VECTOR MACHINES (SVM);

KINEMATICS;

EID: 11044224378     PISSN: 05891019     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

1. N. Viloria, R. Bravo, A. Quiroz, M. Diaz, A. Salazar, and M. Robles, "Dynamic electromyography evaluation of Spastic Hemiplegia using a linear discriminator." Engineering in Medicine and Biology Society, 2003. Proceedings of the 25th Annual International Conference of the IEEE, Volume: 2, 17-21 Sept. 2003. Pages:1866-1869.
2. L. Lee, W.E.L. Grimson, "Gait analysis for recognition and classification,"Automatic Face and Gesture Recognition, 2002. Proceedings. Fifth IEEE International Conference on, 20-21 May 2002 Pages: 148-155
3. V. Vapnik. The Nature of Statistical Learning Theory. Springer. New York. 1.995.
4. J.C. Platt, N. Cristianini, J. Shawe-Taylor. "Large Margin DAGs for Multiclass Classification". Advances in Neural Information Processing Systems 12, pp. 547-553, MIT Press, (2000).
5. Kadaba, M.P., Ramakrishnan, H.K. & Wooten, M.E. (1990). Lower extremity kinematics during level walking. Journal of Orthopaedic Research, 8, 849-860.
6. Gage, J. "Gait Analysis in Cerebral Palsy", Mac Keith Press, Londres, 1991.