A New Feature Analysis Approach to Selecting Channels of EEG for Fatigue Driving

<table class="table-group" id="tab7"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td class="align_left">Feature</td><td class="align_center">Number of channels</td><td class="align_center">Accuracy</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td class="align_left">Theta_Std</td><td class="align_center">15</td><td class="align_center">99.42%</td></tr><tr><td class="align_left">FE</td><td class="align_center">7</td><td class="align_center">99.22%</td></tr><tr><td class="align_left">Theta_Std+FE</td><td class="align_center">6</td><td class="align_center">99.45%</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Comparison of optimal results.</div>

Computational and Mathematical Methods in Medicine

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Table 7

Table 7: A New Feature Analysis Approach to Selecting Channels of EEG for Fatigue Driving 