Nonlinear classification of EEG data for seizure detection

2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings

Volumn 2006, Issue , 2006, Pages 956-959

  Ramírez Vélez, Mabel ^a   Staba, Richard ^a   Barth, Daniel S ^a   Meyer, François G ^a  

^a NONE

Author keywords

[No Author keywords available]

Indexed keywords

ELECTROENCEPHALOGRAPHY; GEOMETRY; IMAGE RECORDING; PATIENT TREATMENT; REGRESSION ANALYSIS; TUMORS;

BASELINE STATES; EPILEPSY; EPILEPTIC SEIZURES; LAPLACIAN EIGENMAPS METHODS;

CLASSIFICATION (OF INFORMATION);

EID: 33750939999     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (8)

1. S. Blanco, R. Quian Quiroga, O.A. Rosso, and S. Kochen, "Time-frequency analysis of electroencephalogram series," Phys. Review E, vol. 51, pp. 2624-2631, 1995.
2. C. Yamaguchi, "Fourier and wavelet analyses of normal and epileptic electroencephalogram (EEG)," Proc. of the First International IEEE-EMBS Conference on Neural Engineering, pp. 406-409, March 2003.
3. I. Osorio, M.A. Harrison, Y. Cheng-Lai, and M.G. Frei, "Observations on the application of correlation dimension and correlation integral to the prediction of seizures," J. of Clin. Neurophysiology, vol. 18,3, pp. 269-274, 2001.
4. V. Cherkassky and Filip Mulier, Learning from Data: Concepts, Theory, and Methods, Wiley and Sons, 1998.
5. M. Belkin and P. Niyogi, "Laplacian eigenmaps for dimensionality reduction and data representation," Neural Computation, vol. 15 6, pp. 1373-1396, 2003.
6. F.R.K. Chung, "Spectral graph theory," CBMS Conf. on Recent Advances in Spectral Graph Theory, 1997, vol. 92 of Regional Conf. Series in Mathematics, American Mathematical Society.
7. R. Duda, P. Hart, and D. Stork, Pattern Classification, Wiley Interscience, 2000.
8. M. Ramírez-Vélez and F. G. Meyer, "Nonlinear classification of EEG data for seizure detection," Tech. Rep., University of Colorado at Boulder, 2006.