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  • 學位論文

旨在促成穩態視覺誘發電位穩定分類的高頻多彩視覺刺激的最佳合成

Synthesis of Optimal High Frequency Polychromatic Visual Stimuli for Robust SSVEP Classification

指導教授 : 邵家健

參考文獻


[1] G. Bin, X. Gao, Y. Wang, B. Hong, and S. Gao, "VEP-based brain-computer interfaces: Time, frequency, and code modulations [Research Frontier] ", IEEE Comput Intell Mag, vol. 4, no. 4, pp. 22–26, Nov. 2009.
[2] Y.Y. Chien, F.C. Lin, C.C. Chou, J.K. Zao, H.Y. Kuo, Y.P. Huang, Y. Wang, T.P. Jung, and H.P. D. Shieh, "Polychromatic high-frequency steady-state visual evoked potentials for brain-display interaction", Soc. Inf. Display Int’l Symp. Digest Tech. Papers 44, pp. 146–149, 2013. doi:10.1002/j.2168-0159.2013.tb06164.x.
[4] Y. Wang, Y.T. Wang, and T.P. Jung, "Visual stimulus design for high-rate SSVEP BCI", Electron. Lett., vol. 46, no. 15, p. 1057, 2010
[5] Y. Wang, M. Nakanishi, Y.T. Wang, T.P. Jung, "Enhancing detection of steady-state visual evoked potentials using individual training data", EMBC 2014:3037-40.
[6] Y. Wang, R. Wang, X. Gao, and S. Gao, "Brain-computer interface based on the high-frequency steady-state visual evoked potential", in Proc. 1st IEEE Int. Conf. Neural Interface Control, 2005, pp. 37–39.

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