Suboptimal sensor subset evaluation in a P300 brain-computer interface

European Signal Processing Conference

Volumn , Issue , 2010, Pages 924-928

  Cecotti, H ^a   Rivet, B ^a   Congedo, M ^a   Jutten, C ^a   Bertrand, O ^b   Maby, E ^b   Mattout, J ^b  

^a GIPSA LAB   (France)

^b UNIVERSITÉ LYON 1   (France)

Author keywords

[No Author keywords available]

Indexed keywords

BACKWARD ELIMINATION; BRAIN ACTIVITY; BRAIN-COMPUTER INTERFACES (BCI); CLASSIFIER PERFORMANCE; EVENT RELATED POTENTIALS; HUMAN COMPUTER INTERFACES; ODDBALL PARADIGMS; RECOGNITION RATES;

CHARACTER RECOGNITION; COST FUNCTIONS; SENSORS; SIGNAL PROCESSING;

BRAIN COMPUTER INTERFACE;

EID: 80051641114     PISSN: 22195491     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (15)

1. Algorithms and Theory of Computation Handbook. CRC Press LLC, 1999.
2. N. Abe, M. Kudo, J. Toyama, and M. Shimbo. Classifier-independent feature selection on the basis of divergence criterion. Pattern Anal. Appl., 9(2):127-137, 2006.
3. B. Z. Allison, E. W. Wolpaw, and J. R. Wolpaw. Braincomputer interface systems: progress and prospects. Expert Review of Medical Devices, 4(4):463-474, 2007.
4. N. Birbaumer and L. G. Cohen. Brain-computer interfaces: communication and restoration of movement in paralysis. Journal of Physiology-London, 579(3):621-636, 2007.
5. H. Cecotti and A. Gräser. Time delay neural network with Fourier Transform for multiple channel detection of steady-state visual evoked potential for braincomputer interfaces. In Proc. EUSIPCO, 2008.
6. L. Farwell and E. Donchin. Talking off the top of your head: toward a mental prosthesis utilizing event-related brain potentials. Electroencephalogr. Clin. Neurophysiol., 70:510-523, 1988.
7. G. H. Golub and C. F. Van Loan. Matrix Computation. 3rd ed. Johns Hopkins University Press, 1996.
8. U. Hoffmann, J. Vesin, K. Diserens, and T. Ebrahimi. An eficient P300-based brain-computer interface for disabled subjects. Journal of Neuroscience Methods, 167(1):115-125, 2008.
9. D. J. Krusienski, E. W. Sellers, D. McFarland, T. M. Vaughan, and J. R. Wolpaw. Toward enhanced P300 speller performance. Journal of Neuroscience Methods, 167:15-21, 2008.
10. F. Lotte, M. Congedo, A. Lecuyer, F. Lamarche, and B. Arnaldi. A review of classification algorithms for EEG-based brain-computer interfaces. Journal of Neu- ral Engineering, 4:R1-R13, 2007.
11. E. Maby, G. Gibert, P.-E. Aguera, M. Perrin, O. Bertrand, and J. Mattout. The OpenViBE P300- Speller scenario: a thorough online evaluation. In Human Brain Mapping Conference, 2010.
12. D. J. C. MacKay. Bayesian interpolation. Neural Comput., 4(3):415-447, 1992.
13. K.-R. Müller, M. Tangermann, G. Dornhege, M. Krauledat, G. Curio, and B. Blankertz. Machine learning for real-time single-trial EEG-analysis: From brain-computer interfacing to mental state monitoring. J Neurosci Methods, 167(1):82-90, 2008.
14. B. Rivet, A. Souloumiac, V. Attina, and G. Gibert. xDAWN algorithm to enhance evoked potentials: application to brain-computer interface. IEEE Trans Biomed Eng., 56(8), 2009.
15. B. Rivet, A. Souloumiac, G. Gibert, and V. Attina. P300 speller brain-computer interface: Enhancement of P300 evoked potential by spatial filters. In Proc. EU- SIPCO, 2008.