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

<table class="table-group" id="tab6"><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"><i>T</i>, <i>P</i>, <i>F</i></td><td class="align_center"><i>F</i>, <i>O</i>, <i>P</i>, <i>T</i></td></tr><tr><td class="align_left">Random Tree</td><td class="align_center"><i>O</i>, <i>F</i>, <i>T</i>, <i>P</i></td><td class="align_center"><i>F</i>, <i>O</i>, <i>P</i></td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Activated areas of Person 3. T  temporal area; P  parietal area; F  frontal area; O  occipital area.</div>

Computational Intelligence and Neuroscience

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Table 6

Table 6: Analyzing EEG Signals Using Decision Trees: A Study of Modulation of Amplitude 