On the classification of mental tasks: A performance comparison of neural and statistical approaches

Machine Learning for Signal Processing XIV - Proceedings of the 2004 IEEE Signal Processing Society Workshop

Volumn , Issue , 2004, Pages 529-538

  Barreto, Guilherme A ^a   Frota, Rewbenio A ^a   De Medeiros, Fátima N S ^a  

^a FEDERAL UNIVERSITY OF CEARÁ   (Brazil)

Author keywords

[No Author keywords available]

Indexed keywords

BANDPASS FILTERS; BRAIN; FEATURE EXTRACTION; NEURAL NETWORKS; SIGNAL PROCESSING; STATISTICAL METHODS; WAVELET TRANSFORMS;

BIOLOGICAL SIGNALS; CLASSIFICATION; POWER SPECTRAL DENSITY (PSD); WELCH PERIODOGRAM;

ELECTROENCEPHALOGRAPHY;

EID: 17644419719     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (18)

1. C. Anderson and Z. Sijercic, "Classification of EEG Signals from Four Subjects During Five Mental Tasks," in Proceedings of the International Conference on Engineering Applications of Neural Networks (EANN), London, England, 1996, pp. 407-414.
2. C. W. Anderson, E. A. Stolz and S. Shamsunder, "Multivariate autoregressive models for classification of spontaneous electroencephalografic signals during mental tasks," IEEE Transactions on Biomedical Engineering, vol. 45, no. 3, pp. 277-286, 1998.
3. D. Garrett, D. A. Peterson, C. W. Anderson and M. H. Thaut, "Comparison of linear, nonlinear and feature selection methods for EEG signal classification," IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 11, no. 2, pp. 141-144, 2003.
4. N. Hazarika, J. Z. Chen, A. C. Tsoi and A. Sergejew, "Classification of EEG signals using the wavelet transform," Signal Processing, vol. 59, pp. 61-72, 1997.
5. H. Jasper, "The ten-twenty electrode system of the international federation," Electroencephalographic Clinical Neurophysiology, vol. 10, pp. 371-375, 1958.
6. P. E. Johnson and D. G. Long, "The probability density of spectral estimates based on modified periodogram averages," IEEE Transactions on Signal Processing, vol. 47, no. 5, pp. 2429-2438, 1999.
7. S.-L. Joutisiniemi, S. Kaski and T. A. Larsen, "Self-organizing map in recognition of topographic patterns of EEG spectra," IEEE Transactions on Biomedical Engineering, vol. 42, no. 11, pp. 1062-1068, 1995.
8. Z. A. Keirn and J. I. Aunon, "A new mode of communication between man and his surroundings," IEEE Transactions on Biomedical Engineering, vol. 37, pp. 1209-1214, 1990.
9. R. E. Kingsley, Concise Text of Neuroscience, Baltimore: Lippincott Williams and Wilkins, 2nd edn., 2000.
10. T. Kohonen, Self-Organizing Maps, Berlin: Springer-Verlag, 2nd edn., 1997.
11. K.-R. Müller, C. W. Anderson and G. E. Birch, "Linear and nonlinear methods for brain-computer interface," IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 11, no. 2, pp. 165-169, 2003.
12. R. Palaniappan, R. Paramesran, S. Nishida and N. Saiwaki, "A new brain-computer interface design using Fuzzy ARTMAP," IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 10, no. 3, pp. 141-148, 2002.
13. J. C. Príncipe, N. R. Euliano and W. C. Lefebvre, Neural and Adaptive Systems: Fundamentals through Simulations, John Wiley & Sons, 2000.
14. R. M. Rangayyan, Biomedical signal analysis: A case-study approach, Wiley-Interscience, 2nd edn., 2002.
15. A. C. K. Soong and Z. J. Koles, "Principal-component localization of the sources of the background EEG," IEEE Transactions on Biomedical Engineering, vol. 42, no. 1, pp. 59-67, 1995.
16. C. W. Therrien, Discrete Random Signals ans Statistical Signal Processing, New Jersey: Prentice-Hall, 1992.
17. A. Webb, Statistical Pattern Recognition, Wiley & Sons, 2002.
18. P. D. Welch, "The use of the fast Fourier transform for the estimation of power spectra," IEEE Transactions on Audio Electroacoustics, vol. 15, pp. 70-73, 1967.