An Improved Refined Composite Multivariate Multiscale Fuzzy Entropy Method for MI-EEG Feature Extraction

<table class="table-group" id="tab1"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_left">Subjects</td><td class="align_center">Optimal channel combination</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">“aa”</td><td class="align_center">60, 70, 69</td></tr><tr><td class="align_left">“al”</td><td class="align_center">52, 23, 61</td></tr><tr><td class="align_left">“av”</td><td class="align_center">31, 95, 102</td></tr><tr><td class="align_left">“aw”</td><td class="align_center">56, 65, 75</td></tr><tr><td class="align_left">“ay”</td><td class="align_center">60, 52, 43</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>The optimal channel combination.</div>

Computational Intelligence and Neuroscience

tab1

Table 1

Table 1: An Improved Refined Composite Multivariate Multiscale Fuzzy Entropy Method for MI-EEG Feature Extraction 