A Hardware/Software Prototype of EEG-based BCI System for Home Device Control

Author:

Belwafi Kais,Ghaffari Fakhreddine,Djemal Ridha,Romain Olivier

Funder

National Science Technology and Innovation Plan NSTIP,

Publisher

Springer Science and Business Media LLC

Subject

Hardware and Architecture,Modelling and Simulation,Information Systems,Signal Processing,Theoretical Computer Science,Control and Systems Engineering

Reference48 articles.

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2. Dornhege, G., Blankertz, B., Curio, G., & Muller, K. (2004). Boosting bit rates in noninvasive EEG single-trial classifications by feature combination and multiclass paradigms. IEEE Transactions Biomedical Engineering, 51(6), 993–1002.

3. Naeem, M., Brunner, C., Leeb, R., Graimann, B., & Pfurtscheller, G. (2006). A seperability of four-class motor imagery data using independent components. Journal of Neural Engineering, 10, 208–216.

4. Shyu, K.-K., Lee, P.-L., Lee, M.-H., Lin, M.-H., Lai, R.-J., & Chiu, Y.-J. (2010). Development of a low-cost FPGA-based SSVEP BCI multimedia control system. IEEE Transactions on Biomedical Circuits and Systems, 4(2), 125–132.

5. Correa, M., Leber, E.L., & Agustina, G. (2011). Noise removal from EEG signals in polisomnographic records applying adaptive filters in cascade, (pp. 173–194): INTECH Open Access Publisher.

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