Abstract
Brain-computer interface performance is estimated using a model based on the detection of steady-state visual evoked potentials (SSVEPs). It is established that the most significant parameters determining if the SSVEP-based brain-computer interfaces can be used in principle are the ratio of the number of samples in the analyzed signal to the sampling rate and the frequency range in which SSVEPs are detected. If it is necessary to identify the factors that limit the performance of the interface, then the ratio of the frequency range to the number of possible frequencies of the SSVEPs and the ratio of the number of samples in the analyzed signal to the sampling rate are significant predictors. The results presented in this paper make it possible to simulate parameters of brain-computer interfaces on the basis of requirements for a particular device and its capabilities. This makes it possible to design simpler hardware and software for specific tasks and reduce debugging time.
Similar content being viewed by others
References
S. I. Soroko and V. V. Trubachev, Neurophysiological and Phsycophysiological Foundations of Adaptive Biocontrol (Politekhnika-servis, St. Petersburg, 2010) [in Russian].
L. A. Farwell and E. Donchin, “Talking off the top of your head: Towards mental prosthesis utilizing eventrelated brain potentials,” EEG and Clin. Neurophysiol. 70, 510–523 (1988).
X. Gao, D. Xu, M. Cheng, et al., “A BCI-based environmental controller for the motion-disabled,” IEEE Trans. Neural Syst. Rehabilitation Eng. 11(2), 137–140 (2003).
D. Zhu, J. Bieger, G. Garcia Molina, et al., “A survey of stimulation methods used in SSVEP-based BCIs,” in Computational Intelligence and Neuroscience (Hindawi Publ. Corporation, 2010), Article ID 702357.
H. Cecotti, I. Volosyak, and A. Graser, “Reliable visual stimuli on LCD screens for SSVEP based BCI,” in Proc. of the 18th European Conf. on Signal Processing (EUSIPCO-2010), Aalbork, Denmark, 2010, pp. 919–923.
Recent Advances in Brain-Computer Interface Systems, Ed. by R. Fazel-Rezai (Rijeka, Croatia, 2011).
G. Garcia, “High Frequency SSVEPs for BCI Applications,” in Conf. on Computer-Human Interaction, Florence, Italy, 2008.
L. R. Zenkov, Clinical Electroencephalography (with Elements of Epileptology) (MEDPress-inform, Moscow, 2011) [in Russian].
V. V. Gnezditskii, Evoked Brain Potentials in Clinical Practice (MEDPress-inform, Moscow, 2003) [in Russian].
http://www.statsoft.ru/statportal/tabID50/MId449/ModeID0/PageID317/DesktopDefault.aspx
Author information
Authors and Affiliations
Corresponding author
Additional information
Original Russian Text © S.V. Borzunov, S.D. Kurgalin, A.V. Maksimov, Ya.A. Turovskii, 2014, published in Izvestiya Akademii Nauk. Teoriya i Sistemy Upravleniya, 2014, No. 1, pp. 121–129.
Rights and permissions
About this article
Cite this article
Borzunov, S.V., Kurgalin, S.D., Maksimov, A.V. et al. Estimation of the SSVEP-based brain-computer interface performance. J. Comput. Syst. Sci. Int. 53, 116–123 (2014). https://doi.org/10.1134/S1064230713060063
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1134/S1064230713060063