Design and Implementation of Portable Visual Stimulator for BCI

Abstract:

Visual stimulator is one of the key factors that affect the steady-state visual evoked potential (SSVEP). Research and development of brain-computer interface (BCI) system based on SSVEP have priority to consider the design and implementation of visual stimulation. Compare with visual stimulators for particular applications, this paper presents a visual stimulator that is portable and easy to modify apparatus, which is suitable for expanding the application of SSVEP based BCI system. This article induces a visual stimulator based on ARM microcontroller for BCI. The stimulator uses a common USB interface, achieving multiple selective stimulus methods. The system features include visual stimulation, parameter setting and display, the experimental results feedback display. Experimental data prove that this stimulator can be used for almost all types of brain-computer interface based on visual stimulation experiments, and have a portable operating mode, flexible parameter settings , and easy operation.

• Periodical: Advanced Materials Research (Volumes 912-914)
• Pages: 1205-1208
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.912-914.1205
• Online since: April 2014
• Authors: Qiu Ling Yang*, Ping Dong Wu, Xi Peng Li
• Keywords: ARM, Brain Computer Interface (BCI), Eady-State Visual Evoked Potential (SSVEP), Visual Stimulator

References

[1] J.R. Wolpaw, N. Birbaumer, D.J. McFarland, G. Pfurtscheller, Brain–computer interfaces for communication and control, Clin. Neurophys. 113 (2002) 767-791.

DOI: 10.1016/s1388-2457(02)00057-3

[2] M. Middendorf, G. McMillan, G. Calhoun, K.S. Jones, Brain-computer interfaces based on the steady state visual-evoked response, IEEE Trans. Neural Syst. Rehab. Eng. 8(2000) 211-214.

DOI: 10.1109/86.847819

[3] R.R. Angevin, A.D. Estrella, A Brain- computer inter-face: Changes in performance using virtual reality techniques, Neuroscience Letters. 449 (2009)123-127.

DOI: 10.1016/j.neulet.2008.10.099

[4] A.J. Zele, A.J. Vingrys, Cathode-ray-tube monitor artefacts in neurophysiology. Journal of Neuroscience Methods. 141(2005)1-7.

DOI: 10.1016/j.jneumeth.2004.05.005

[5] G. Bin, X. Gao, Z. Yan, B. Hong, and S. Gao, An online multi-channel SSVEP-based brain-computer interface using a canonical correlation analysis method, Journal of Neural Engineering. 6(2009)27-36.

DOI: 10.1088/1741-2560/6/4/046002

[6] A.J. Zele, A.J. Vingrys, Cathode-ray-tube monitor artefacts in neurophysiology, Journal of Neuroscience Methods. 11(2005)17-23.

DOI: 10.1016/j.jneumeth.2004.05.005