A Robust and Self-Paced BCI System Based on a Four Class SSVEP Paradigm: Algorithms and Protocols for a High-Transfer-Rate Direct Brain Communication

<table class="table-group" width="800px"><tr class="fig-image" id="a"><td><img alt="864564.fig.002a" src="https://static.hindawi.com/articles/cin/volume-2009/864564/figures/864564.fig.002a.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(a) </b>Screening session</td></tr></table></td></tr><tr class="fig-image" id="b"><td><img alt="864564.fig.002b" src="https://static.hindawi.com/articles/cin/volume-2009/864564/figures/864564.fig.002b.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(b) </b>Training session</td></tr></table></td></tr></table>

<table>Timings and structures of the adopted (a) screening and (b) training protocols.</table>

Computational Intelligence and Neuroscience

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Figure 2: A Robust and Self-Paced BCI System Based on a Four Class SSVEP Paradigm: Algorithms and Protocols for a High-Transfer-Rate Direct Brain Communication 

Figure 2 | A Robust and Self-Paced BCI System Based on a Four Class SSVEP Paradigm: Algorithms and Protocols for a High-Transfer-Rate Direct Brain Communication 