Man-Machine Interactions 2 pp 57-64 | Cite as
On Possibility of Stimulus Parameter Selection for SSVEP-Based Brain-Computer Interface
Conference paper
Abstract
It is postulated that performance of brain-computer interfaces (BCI) based on detection of steady-state visual evoked potentials (SSVEP) can be improved by proper configuration of the visual stimulator. Preliminary results of experiments are presented to confirm dependence of SSVEP characteristics on parameters of the stimulus.
Keywords
alternate half-field stimulation brain-computer interface EEG steady-state visual evoked potentialsPreview
Unable to display preview. Download preview PDF.
References
- 1.Bin, G., Gao, X., Wang, Y., Hong, B., Gao, S.: Vep-based brain-computer interfaces: Time, frequency and code modulations. IEEE Computational Intelligence Magazine 4, 22–26 (2009)CrossRefGoogle Scholar
- 2.Materka, A., Byczuk, M.: Alternate half-field stimulation technique for SSVEP-based brain-computer interfaces. IEEE Electronic Letters 42, 321–322 (2006)CrossRefGoogle Scholar
- 3.Materka, A., Byczuk, M.: Using comb filter to enhance SSVEP for BCI application. In: Proceedings of 3rd International Conference on Advances in Medical, Signal and Information Processing, pp. 1–4 (2006)Google Scholar
- 4.Materka, A., Byczuk, M., Poryzala, P.: A Virtual keypad based on alternate half-field stimulated visual evoked potentials. In: Proceedings of the International Symposium on Information Technology Convergence, pp. 296–300 (2007)Google Scholar
- 5.Mukesh, S., Jaganathan, V., Reddy, M.: A Novel multiple frequency stimulation method for steady state vep based brain computer interfaces. Physiological Measurement 27, 61–71 (2006)CrossRefGoogle Scholar
- 6.Regan, D.: Human brain electrophysiology—evoked potentials and evoked magnetic fields in science and medicine. Elsevier, New York (1989)Google Scholar
- 7.Wang, Y., Gao, X., Hong, B., Jia, C., Gao, S.: Brain-computer interfaces based on visual evoked potentials, feasibility of practical system design. IEEE Engineering in Medicine and Biology Magazine 27, 64–71 (2008)CrossRefGoogle Scholar
- 8.Wang, Y., Zhang, Z., Gao, X., Gao, S.: Lead selection for ssvep-based brain-computer interface. In: Proceedings of 26th Annual International Conference of the IEEE In Engineering in Medicine and Biology Society, pp. 4507–4510 (2004)Google Scholar
- 9.Wolpaw, J., Birbaumer, N., Heetderks, W., McFarland, D., Peckham, P., Schalk, G., Donchin, E., Quatrano, L., Robinson, C., Vaughan, T.: Brain-computer interface technology: A review of the first international meeting. IEEE Transactions on Rehabilitation Engineering 8, 164–173 (2000)CrossRefGoogle Scholar
Copyright information
© Springer-Verlag Berlin Heidelberg 2011