Comparative study of band-power extraction techniques for Motor Imagery classification

IEEE SSCI 2011 - Symposium Series on Computational Intelligence - CCMB 2011: 2011 IEEE Symposium on Computational Intelligence, Cognitive Algorithms, Mind, and Brain

Volumn , Issue , 2011, Pages 95-100

  Brodu, Nicolas ^a   Lotte, Fabien ^b   Lécuyer, Anatole ^c  

^a UNIVERSITÉ DE RENNES 1   (France)

^b INSTITUTE FOR INFOCOMM RESEARCH   (Singapore)

^c INRIA   (France)

Author keywords

[No Author keywords available]

Indexed keywords

COMPARATIVE STUDIES; CROSS VALIDATION; EEG SIGNALS; EXTRACTION TECHNIQUES; MORLET WAVELET; MOTOR IMAGERY CLASSIFICATION; MOTOR IMAGERY TASKS; POWER EXTRACTION; TIME-FREQUENCY RESOLUTION;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; ELECTROENCEPHALOGRAPHY; ELECTROPHYSIOLOGY; FREQUENCY BANDS; INTERFACES (COMPUTER);

BRAIN COMPUTER INTERFACE;

EID: 79961146868     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CCMB.2011.5952105     Document Type: Conference Paper

References (19)

1. G. Pfurtscheller and C. Neuper, "Motor imagery and direct braincomputer communication," proceedings of the IEEE, vol. 89, no. 7, pp. 1123-1134, 2001. (Pubitemid 33766616)
2. G. Pfurtscheller, G. Muller-Putz, R. Scherer, and C. Neuper, "Rehabilitation with brain-computer interface systems," IEEE Computer, vol. 41, pp. 58-65, 2008.
3. A. Bashashati, M. Fatourechi, R. K. Ward, and G. E. Birch, "A survey of signal processing algorithms in brain-computer interfaces based on electrical brain signals," Journal of Neural engineering, vol. 4, no. 2, pp. R35-57, 2007.
4. P. Flandrin, Temps-Fréquence. Hermès, Paris, 1998.
5. P. Herman, G. Prasad, T. M. McGinnity, and D. Coyle, "Comparative analysis of spectral approaches to feature extraction for eeg-based motor imagery classification," IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 16, no. 4, August 2008.
6. G. Pfurtscheller, C. Brunner, R. Leeb, R. Scherer, G. Müller-Putz, C. Neuper, A. C. Elitzur, M. P. Silverman, J. Tuszynski, R. Vaas, H. D. Zeh, and B. Graimann, The Graz Brain-Computer Interface Brain-Computer Interfaces. Springer Berlin Heidelberg, 2010.
7. G. Pfurtscheller, G. R. Müller-Putz, A. Schlögl, B. Graimann, R. Scherer, R. Leeb, C. Brunner, C. Keinrath, F. Lee, G. Townsend, C. Vidaurre, and C. Neuper, "15 years of bci research at graz university of technology: Current projects," IEEE Transactions on Neural System and Rehabilitation Engineering, no. 14, pp. 205-210, 2006. (Pubitemid 44150243)
8. B. Blankertz, G. Dornhege, M. Krauledat, G. Curio, and K.-R. Müller, "The non-invasive berlin brain-computer interface: Fast acquisition of effective performance in untrained subjects," NeuroImage, no. 37, pp. 539-550, 2007. (Pubitemid 47444247)
9. V. Attina, E. Maby, R. Bouet, G. Gibert, J. Mattout, and O. Bertrand, "The importance of individual features for motor-imagery based bci," in 4th International Brain-Computer Interface Workshop and Training Course, 2008.
10. F. Lotte, M. Congedo, A. Lécuyer, F. Lamarche, and B. Arnaldi, "A review of classification algorithms for eeg-based brain-computer interfaces," Journal of Neural Engineering, vol. 4, pp. R1-R13, 2007. (Pubitemid 46603810)
11. Y. Renard, F. Lotte, G. Gibert, M. Congedo, E. Maby, V. Delannoy, O. Bertrand, and A. Lécuyer, "Openvibe: An open-source software platform to design, test and use brain-computer interfaces in real and virtual environments," Presence: teleoperators and virtual environments, vol. 19, no. 1, 2010.
12. F. Auger, P. Flandrin, P. Goņalvès, and O. Lemoine, "The timefrequency toolbox tutorial," CNRS (France), Rice University (USA), Tech. Rep., 1995-1996.
13. N. Brodu, "Multifractal feature vectors for brain-computer interfaces," in IJCNN, 2008, pp. 2883-2890.
14. B. Blankertz, K. R. Müller, G. Curio, T. M. Vaughan, G. Schalk, J. R. Wolpaw, A. Schlögl, C. Neuper, G. Pfurtscheller, T. Hinterberger, M. Schröder, and N. Birbaumer, "The BCI competition 2003: Progress and perspectives in detection and discrimination of EEG single trials," IEEE Transactions on Biomedical Engineering, vol. 51, no. 6, pp. 1044-1051, 2004. (Pubitemid 38661460)
15. B. Blankertz, K. R. Muller, D. J. Krusienski, G. Schalk, J. R. Wolpaw, A. Schlogl, G. Pfurtscheller, J. D. R. Millan, M. Schroder, and N. Birbaumer, "The BCI competition III: Validating alternative approaches to actual BCI problems," IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 14, no. 2, pp. 153-159, 2006. (Pubitemid 44150230)
16. S. A., N. C., and P. G., "Estimating the mutual information of an eegbased brain-computer-interface," Biomedizinische Technik, vol. 47, no. 1-2, pp. 3-8, 2002.
17. S. Lemm, C. Schafer, and G. Curio, "BCI competition 2003-data set III: probabilistic modeling of sensorimotor mu rhythms for classification of imaginary hand movements," IEEE Transactions on Biomedical Engineering, vol. 51, no. 6, pp. 1077-1080, 2004. (Pubitemid 38661466)
18. B. Hjorth, "An on-line transformation of eeg scalp potentials into orthogonal source derivations." Electroencephalography and Clinical Neurophysiology, vol. 39, pp. 526-530, 1975.
19. D. J. McFarland, L. M. McCane, S. V. David, and J. R. Wolpaw, "Spatial filter selection for EEG-based communication," Electroencephalographic Clinical Neurophysiology, vol. 103, no. 3, pp. 386-394, 1997. (Pubitemid 27382149)