Improving EEG-Based Motor Imagery Classification for Real-Time Applications Using the QSA Method

<table class="table-group" id="tab9"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_left">Algorithm</td><td class="align_center">Ranking</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">iQSA</td><td class="align_center">15.3333</td></tr><tr><td class="align_left">FDCSP</td><td class="align_center">15.5556</td></tr><tr><td class="align_left">SR-FBCSP</td><td class="align_center">16.5556</td></tr><tr><td class="align_left">MEMD-SI-BCI</td><td class="align_center">26.5556</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Computational Intelligence and Neuroscience

tab9

Table 9

Table 9: Improving EEG-Based Motor Imagery Classification for Real-Time Applications Using the QSA Method 