Abstract
In this work, the high impact of appropriate selection of visual stimuli on liquid crystal displays (LCDs) used for the brain-computer interfaces (BCIs) based on the Steady-State Visual Evoked Potentials (SSVEPs) has been confirmed. The number of suitable frequencies on the standard LCD monitor is limited due to the vertical refresh rate of 60Hz and the number of simultaneously used stimuli. Two sets of frequencies have been compared among each other during the on-line spelling task with the Bremen-BCI system in the study with 10 healthy subjects. This work is meaningful for the practical design of LCD based BCIs. In this study, appropriate selection of visual stimuli results in a 40% change in the BCI literacy under otherwise equal conditions.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Berger, T.W., Chapin, J.K., Gerhardt, G.A., McFarland, D.J., et al.: Brain-Computer Interfaces: An international assessment of research and development trends. Springer, Heidelberg (2008)
Dornhege, G., Sejnowski, T.J.: Toward Brain Computer Interfacing. MIT Press, Cambridge (2007)
Wolpaw, J.R., Birbaumer, N., McFarland, D.J., Pfurtscheller, G., Vaughan, T.M.: Brain-computer interfaces for communication and control. J. Clin. Neurophysiol. 113(6), 767–791 (2002)
Herrmann, C.S.: Human EEG responses to 1-100 Hz flicker: resonance phenomena in visual cortex and their potential correlation to cognitive phenomena. Exp. Brain Res. 137(3-4), 346–353 (2001)
Gao, X., Xu, D., Cheng, M., Gao, S.: A BCI-based environmental controller for the motion-disabled. J. Neural Syst. Rehabil. Eng. 11(2), 137–140 (2003)
Friman, O., Volosyak, I., Gräser, A.: Multiple channel detection of steady-state visual evoked potentials for brain-computer interfaces. J. of Biomed. Eng. 54(4), 742–750 (2007)
Middendorf, M., McMillan, G., Calhoun, G., Jones, K.S.: Brain-Computer Interfaces based on the Steady-State Visual Evoked response. J. Rehab Eng. 8(2), 211–214 (2000)
Wang, Y., Gao, X., Hong, B., Jia, C., Gao, S.: Brain-Computer Interfaces based on visual evoked potentials. J. Med. Biol. Mag. 27(5), 64–71 (2008)
Allison, B., Volosyak, I., Lüth, T., Valbuena, D., et al.: BCI Demographics: How many (and what kinds of) people can use an SSVEP BCI? In: Proceedings of the 4th International Brain-computer Interface Workshop and Training Course, Graz, Austria, pp. 333–338 (2008)
Valbuena, D., Cyriacks, M., Friman, O., Volosyak, I., Gräser, A.: Brain-Computer Interface for high-level control of rehabilitation robotic systems. In: Proc. IEEE ICORR 2007, Noordwijk, The Netherlands, pp. 619–625 (2007)
Wu, Z., Lai, Y., Xia, Y., Wu, D., Yao, D.: Stimulator selection in SSVEP-based BCI. J. Medical Engineering and Physics 30(8), 1079–1088 (2008)
Müller-Putz, G.R., Scherer, R., Brauneis, C., Pfurtscheller, G.: Steady-state visual evoked potential (SSVEP)-based communication: impact of harmonic frequency components. J. Neural Eng. 2(4), 123–130 (2005)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Volosyak, I., Cecotti, H., Gräser, A. (2009). Impact of Frequency Selection on LCD Screens for SSVEP Based Brain-Computer Interfaces. In: Cabestany, J., Sandoval, F., Prieto, A., Corchado, J.M. (eds) Bio-Inspired Systems: Computational and Ambient Intelligence. IWANN 2009. Lecture Notes in Computer Science, vol 5517. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02478-8_88
Download citation
DOI: https://doi.org/10.1007/978-3-642-02478-8_88
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-02477-1
Online ISBN: 978-3-642-02478-8
eBook Packages: Computer ScienceComputer Science (R0)