Classification Accuracy Improvement of Chromatic and High-Frequency Code-Modulated Visual Evoked Potential-Based BCI
暂无分享,去创建一个
[1] Jonathan R. Wolpaw,et al. Brain–Computer InterfacesPrinciples and Practice , 2012 .
[2] Toshihiro Kawase,et al. Use of high-frequency visual stimuli above the critical flicker frequency in a SSVEP-based BMI , 2015, Clinical Neurophysiology.
[3] F. Plum,et al. The diagnosis of stupor and coma. , 1972, Contemporary neurology series.
[4] Yijun Wang,et al. A high-speed BCI based on code modulation VEP , 2011, Journal of neural engineering.
[5] Shoji Makino,et al. Chromatic and high-frequency cVEP-based BCI paradigm , 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).
[6] Yijun Wang,et al. VEP-based brain-computer interfaces: time, frequency, and code modulations [Research Frontier] , 2009, IEEE Computational Intelligence Magazine.
[7] A. Cichocki,et al. Optimization of SSVEP brain responses with application to eight-command Brain–Computer Interface , 2010, Neuroscience Letters.
[8] 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013, Osaka, Japan, July 3-7, 2013 , 2013, EMBC.
[9] Xiaorong Gao,et al. An online multi-channel SSVEP-based brain–computer interface using a canonical correlation analysis method , 2009, Journal of neural engineering.
[10] J. Wolpaw,et al. Brain-Computer Interfaces: Principles and Practice , 2012 .
[11] Guillaume Gibert,et al. OpenViBE: An Open-Source Software Platform to Design, Test, and Use BrainComputer Interfaces in Real and Virtual Environments , 2010, PRESENCE: Teleoperators and Virtual Environments.