M. B. Happ, Communicating With Mechanically Ventilated Patients: State of the Science, AACN Clinical Issues: Advanced Practice in Acute and Critical Care, vol.12, issue.2, pp.247-258, 2001.
DOI : 10.1097/00044067-200105000-00008

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, vol.6, issue.4, p.46002, 2009.
DOI : 10.1088/1741-2560/6/4/046002

H. Cecotti, Classification of Steady-State Visual Evoked Potentials based on the visual stimuli duty cycle, 2010 3rd International Symposium on Applied Sciences in Biomedical and Communication Technologies (ISABEL 2010), pp.1-5, 2010.
DOI : 10.1109/ISABEL.2010.5702921

URL : https://hal.archives-ouvertes.fr/hal-00536282

O. Friman, I. Volosyak, and A. Graser, Multiple Channel Detection of Steady-State Visual Evoked Potentials for Brain-Computer Interfaces, IEEE Transactions on Biomedical Engineering, vol.54, issue.4, pp.742-750, 2007.
DOI : 10.1109/TBME.2006.889160

H. Cecotti, A Self-Paced and Calibration-Less SSVEP-Based Brain–Computer Interface Speller, IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol.18, issue.2, pp.127-133, 2010.
DOI : 10.1109/TNSRE.2009.2039594

M. A. Pastor, J. Artieda, J. Arbizu, M. Valencia, and J. C. , Masdeu1 Human cerebral activation during steady-state visual-evoked responses, The Journal of Neuroscience, vol.23, pp.11621-11627, 2003.

Y. Wang, X. Gao, B. Hong, C. Jia, and S. Gao, Brain-Computer Interfaces Based on Visual Evoked Potentials, IEEE Engineering in Medicine and Biology Magazine, vol.27, issue.5, pp.64-71, 2008.
DOI : 10.1109/MEMB.2008.923958

R. H. Sohn, J. S. Son, H. J. Hwang, C. H. Im, and Y. H. Kim, SSVEPbased functional electrical stimulation system for motor control of patients with spinal cord injury, 6th World Congress of Biomechanics IFMBE Proceedings, pp.31-655, 2010.

G. , G. Molina, and V. Mihajlovic, Spatial filters to detect steadystate visual evoked potentials elicited by high frequency stimulation: BCI application, Biomedizinische Technik/Biomedical Engineering, vol.55, issue.3, pp.173-182, 2010.

P. S. Bradley, O. L. Mangasarian, and W. N. Street, Clustering via concave minimization, Advances in Neural Information Processing Systems 9, pp.368-374, 1997.

B. Allison, T. Luth, D. Valbuena, A. Teymourian, I. Volosyak et al., BCI Demographics: How Many (and What Kinds of) People Can Use an SSVEP BCI?, IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol.18, issue.2, pp.107-116, 2010.
DOI : 10.1109/TNSRE.2009.2039495