SSVEP-Based Brain-Computer Interface: On the Effect of Stimulus Parameters on VEPs Spectral Characteristics

  • M. Byczuk
  • P. Poryzała
  • A. Materka
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 99)


It is demonstrated that spectral characteristics of steady-state visual evoked potentials (SSVEPs) in a brain-computer interface (SSVEP-based BCI) depend significantly on the stimulus parameters, such as color and frequency of its flashing light. We postulate these dependencies can be used to improve the BCI performance – by proper design, configuration and adjustment of the visual stimulator. Preliminary results of conducted experiments show also that SSVEP characteristics are strongly affected by subjects biodiversity.


Power Spectral Density Visual Evoke Potential Simplify Block Diagram Information Transfer Rate Steady State Visual Evoke Potential 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. [Bing et al. 2009]
    Bin, G., Gao, X., et al.: VEP-based brain-computer interfaces: Time, frequency and code modulations. IEEE Comput. Intell. Mag. 4(4), 22–26 (2009)CrossRefGoogle Scholar
  2. [Materka and Byczuk 2006]
    Materka, A., Byczuk, M.: Alternate half-field stimulation technique for SSVEP-based brain–computer interfaces. IEEE Electron Lett. 42(6), 321–322 (2006)CrossRefGoogle Scholar
  3. [Materka and Byczuk 2006]
    Materka, A., Byczuk, M.: Using comb filter to enhance SSVEP for BCI application. In: 3rd International Conference on Advances in Medical, Signal and Information Processing MEDSIP 2006, IET Proceedings Series CP520Z (CD-ROM), Glasgow, United Kingdom, 4 p (2006)Google Scholar
  4. [Materka et al. 2007]
    Materka, A., Byczuk, M., Poryzała, P.: A virtual keypad based on alternate half-field stimulated visual evoked potentials. In: Int. Symp. on Information Technology Convergence, Jeonju, Republic of Korea, pp. 296–300 (2007)Google Scholar
  5. [Mukesh et al. 2006]
    Mukesh, T.M.S., Jaganathan, V., Reddy, M.R.: A novel multiple frequency stimulation method for steady state VEP based brain computer interfaces. Physiol. Meas. 27(1), 61–71 (2006)CrossRefGoogle Scholar
  6. [Regan 1989]
    Regan, D.: Human brain electrophysiology – evoked potentials and evoked magnetic fields in science and medicine. Elsevier, New York (1989)Google Scholar
  7. [Wang et al. 2004]
    Wang, Y., Zhang, Z., Gao, X., et al.: Lead selection for SSVEP-based brain-computer interface. In: Proc. 26th Int. IEEE EMBS Conf., pp. 4507–4510 (2004)Google Scholar
  8. [Wang et al. 2008]
    Wang, Y., Gao, X., Hong, B., et al.: Brain–computer interfaces based on visual evoked potentials, feasibility of practical system design. IEEE Eng. in Medicine and Biology 27(5), 64–71 (2008)CrossRefGoogle Scholar
  9. [Wolpaw et al. 2000]
    Wolpaw, J.R., et al.: Brain-computer interface technology: A review of the first international meeting. IEEE Trans. Rehab. Eng. 8, 164–173 (2000)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • M. Byczuk
    • 1
  • P. Poryzała
    • 1
  • A. Materka
    • 1
  1. 1.Institute of ElectronicsTechnical University of LodzŁódźPoland

Personalised recommendations