Abstract
Steady-state visually evoked potential (SSVEP) based brain-computer interface (BCI) is frequently discussed in recent years for its potential benefits to the disabled person, and some works using high frequency stimulus have been launched for the past few years. In these works, only one or a few special electrodes were selected as the signal electrode. In this work, all electrodes are used as the signal electrode, and it is found that, although the absolute amplitude of high frequency SSVEP is weaker than that of low frequency SSVEP, there is no significant difference of the relative amplitude between the high frequency and low frequency SSVEP, which leads to a similar detection accuracy of them.
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References
Bin G, Gao XR, Yan Z et al (2009) A nonline multi-channel SSVEP-based brain–computer interface using a canonical correlation analysis method. J Neural Eng 6:1–6
Cheng M, Gao XR, Gao SK et al (2002) Design and implementation of a brain-computer interface with high transfer rates. IEEE Trans Biomed Eng 49(10):1181–1186
Luo A, Sullivan TJ (2010) A user-friendly SSVEP-based brain–computer interface using a time-domain classifier. J Neural Eng 7:1–10
Ortner R, Allison BZ, Korisek G et al (2011) An SSVEP BCI to control a hand orthosis for persons with tetraplegia. IEEE Trans Neural Syst Rehabil Eng 19(1):1–5
Friman O, Volosyak I, Graser A (2007) Multiple channel detection of steady-state visual evoked potentials for brain-computer interfaces. IEEE Trans Biomed Eng 54(4):742–750
Volosyak I (2011) SSVEP-based Bremen-BCI interface-boosting information transfer rates. J Neural Eng 8:1–11
Shanon CE, Weaver W (1964) The mathematical theory of communication. University of Illinois Press, Urbana, IL
Cheng M, Gao XR, Gao SK et al (2005) Stimulation frequency extraction in SSVEP-based brain-computer interface 2005. First international conference on neural interface and control proceeding, p 64–67
Jun WY, Ping WR, Gao XR et al (2005) Brain-computer interface based on high-frequency steady-state visual evoked potential. 2005 First international conference on neural interface and control
Burkitt GR, Silberstein RB, Cadusch PJ et al (2000) Steady-state visual evoked potentials and travelling waves. Clin Neurophysiol 111:246–258
Acknowledgements
The work was supported by Science and Technology Bureau of Sichuan Province (#2013GZ0017).
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© 2014 Springer International Publishing Switzerland
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Wu, Z., Su, S. (2014). Detection Accuracy Comparison Between the High Frequency and Low Frequency SSVEP-Based BCIs. In: Zhang, B., Mu, J., Wang, W., Liang, Q., Pi, Y. (eds) The Proceedings of the Second International Conference on Communications, Signal Processing, and Systems. Lecture Notes in Electrical Engineering, vol 246. Springer, Cham. https://doi.org/10.1007/978-3-319-00536-2_36
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DOI: https://doi.org/10.1007/978-3-319-00536-2_36
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