Frequency recognition methods for dual-frequency SSVEP based brain-computer interface
暂无分享,去创建一个
[1] M Congedo,et al. A review of classification algorithms for EEG-based brain–computer interfaces , 2007, Journal of neural engineering.
[2] Xiaorong Gao,et al. Design and implementation of a brain-computer interface with high transfer rates , 2002, IEEE Transactions on Biomedical Engineering.
[3] John J. Foxe,et al. Visual spatial attention tracking using high-density SSVEP data for independent brain-computer communication , 2005, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[4] Chang-Hwan Im,et al. Auditory brain-computer interfaces (BCIs) and their practical applications , 2012 .
[5] Shangkai Gao,et al. A practical VEP-based brain-computer interface. , 2006, IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society.
[6] Po-Lei Lee,et al. Dual-frequency steady-state visual evoked potential for brain computer interface , 2010, Neuroscience Letters.
[7] M. Hallett,et al. Classifying EEG signals preceding right hand, left hand, tongue, and right foot movements and motor imageries , 2008, Clinical Neurophysiology.
[8] Xiaorong Gao,et al. An online multi-channel SSVEP-based brain–computer interface using a canonical correlation analysis method , 2009, Journal of neural engineering.
[9] C. Herrmann. Human EEG responses to 1–100 Hz flicker: resonance phenomena in visual cortex and their potential correlation to cognitive phenomena , 2001, Experimental Brain Research.
[10] E. Donchin,et al. A P300-based brain–computer interface: Initial tests by ALS patients , 2006, Clinical Neurophysiology.
[11] A. Cichocki,et al. Steady-state visually evoked potentials: Focus on essential paradigms and future perspectives , 2010, Progress in Neurobiology.