Comprehensive Review on Eye Close and Eye Open Activities Using EEG in Brain–Computer Interface

Author:

Bablani Annushree,Agrawal Sachin Kumar,Trivedi Prakriti

Publisher

Springer Singapore

Reference6 articles.

1. Townsend, G., Graimann, B., & Pfurtscheller, G. (2004). Continuous EEG classification during motor imagery-simulation of an asynchronous BCI. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 12(2), 258–265.

2. Teplan, M. Fundamentals of EEG Measurement. Institute of Measurement Science, Slovak Academy of Sciences, Dúbravská cesta 9, 841 04 Bratislava, Slovakia.

3. Sakai, M., Wei, D., Kong, W., Dai, G., & Hua, H. (2010). Detection of change in alpha wave following eye closure based on KM2O-Langevin equation. International Journal of Bioelectromagnetism, 12(2), 89–93.

4. Delisle-Rodriguez, D., Castillo-Garcia, J. F., Bastos-Filho, T., Frizera-Neto, A., & Lopez-Delis, A. Using linear discriminant function to detect eyes closing activities through alpha wave.

5. Valipour, S., Shaligram, A. D., & Kulkarni, G. R. Detection of an alpha rhythm of EEG signal based on EEGLAB. Department of Electronic Science, Pune University, Pune, 411 007, Maharashtra, India Department of Physics, Pune University, Pune, 411 007, Maharashtra, India.

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