On the selection of time interval and frequency range of EEG signal preprocessing for P300 brain-computer interfacing

IFMBE Proceedings

Volumn 29, Issue , 2010, Pages 57-60

  Manyakov, N V ^a   Chumerin, N ^a   Combaz, A ^a   Van Hulle, M M ^a  

^a UNIVERSITY OF LEUVEN   (Belgium)

Author keywords

Brain computer interface; frequency range selection; mind typer; P300; time interval selection

Indexed keywords

BRAIN-COMPUTER INTERFACING; CLASSIFICATION ACCURACY; COMPUTER SCREENS; EEG RECORDING; EEG SIGNALS; EVENT-RELATED POTENTIALS; FREQUENCY RANGES; MIND-TYPER; P300; TIME INTERVAL;

BIOCHEMICAL ENGINEERING; ENTERPRISE RESOURCE PLANNING; INTERFACES (COMPUTER); MEDICAL COMPUTING;

BRAIN COMPUTER INTERFACE;

EID: 77957549517     PISSN: 16800737     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-642-13039-7_15     Document Type: Conference Paper

References (20)

1. Editorial Comment: Is this the Bionic Man? Nature. 2006;442:109.
2. Pesaran B., Musallam S., Andersen R.A. Cognitive neural prosthetics Current Biology. 2006;16:77-80.
3. Vidal J.J. Toward direct brain-computer communication Annual review of Biophysics and Bioengineering. 1973;2:157-180.
4. Sutter E.E. The brain response interface: communication through visually-induced electrical brain responses Journal of Microcomputer Applications. 1992;15:31-45.
5. Middendorf M., McMillan G., Calhoun G., Jones K.S. Brain-computer interfaces based on the steady-state visual-evoked response IEEE Transactions on Rehabilitation Engineering. 2000;8:211-214.
6. Kübler A., Kotchoubey B., Kaiser J., Wolpaw J.R., Birbaumer N. Brain-computer communication: unlocking the locked in Psychological Bulletin. 2001;127:358-375.
7. Birbaumer N., Kubler A., Ghanayim N., et al. The thought translation device (TTD) for completely paralyzedpatients IEEE Transactions on Rehabilitation Engineering. 2000;8:190-193.
8. Wolpaw J.R., McFarland D.J., Vaughan T.M. Brain-computer interface research at the Wadsworth Center IEEE Transactions on Rehabilitation Engineering. 2000;8:222-226.
9. Pfurtscheller G., Guger C., Müller G., Krausz G., Neuper C. Brain oscillations control hand orthosis in a tetraplegic Neuroscience letters. 2000;292:211-214.
10. Blankertz B., Dornhege G., Krauledat M., Müller K.R., Curio G. The non-invasive Berlin brain-computer interface: fast acquisition of effective performance in untrained subjects NeuroImage. 2007;37:539-550.
11. Millán J. del R., Renkens F., Mouriño J., Gerstner W. Noninvasive brain-actuated control of a mobile robot by human EEG IEEE Transactions on Biomedical Engineering. 2004;51:1026-1033.
12. Luck S.J. An introduction to the event-related potential technique. MIT Press Cambridge, MA: 2005.
13. Pritchard W.S. Psychophysiology of P300 Psychological Bulletin. 1981;89:506.
14. Ahi S.T., Kambara H., Koike Y. A comparison of dimensionality reduction techniques for the P300 response in Proceedings of the 3rd International Convention on Rehabilitation Engineering & Assistive Technology:28ACM 2009.
15. Chumerin Nikolay, Manyakov Nikolay V., Combaz Adrien, et al. P300 Detection Based on Feature Extraction in On-line Brain-Computer Interface Lecture Notes in Computer Science. 2009;5803:339-346.
16. Thulasidas M., Guan C., Wu J. Robust classification of EEG signal for brain-computer interface IEEE Transactions on Neural Systems and Rehabilitation Engineering. 2006;14:24-29.
17. Farwell L.A., Donchin E. Talking off the top of your head: toward a mental prosthesis utilizing event-related brain potentials Electroen- cephalography and clinical Neurophysiology. 1988;70:510-523.
18. Hong B., Guo F., Liu T., Gao X., Gao S. N200-speller using motion-onset visual response Clinical Neurophysiology. 2009;120:1658-1666.
19. Yazicioglu R.F., Merken P., Puers R., Van Hoof C. Low-power low-noise 8-channel EEG front-end ASIC for ambulatory acquisition systems in The 32nd European Solid-State Circuits Conference. Proceedings of:247-250 2006.
20. Leiva-Murillo JM, Artes-Rodriguez A. Maximization of mutual information for supervised linear feature extraction IEEE Transactions on Neural Networks. 2007;18:1433-1441.