Analyzing EEG Signals Using Decision Trees: A Study of Modulation of Amplitude

<table class="table-group" id="tab4"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td class="align_left">Algorithm</td><td class="align_center">Full band</td><td class="align_center">Beta band</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td class="align_left">J48</td><td class="align_center">T, P, F, O</td><td class="align_center">T, P, F</td></tr><tr><td class="align_left">Random Tree</td><td class="align_center">P, F, O</td><td class="align_center">P, F, T, O</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Activated areas of Person 1. T  temporal area; P  parietal area; F  frontal area; O  occipital area.</div>

Computational Intelligence and Neuroscience

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Table 4

Table 4: Analyzing EEG Signals Using Decision Trees: A Study of Modulation of Amplitude 