Effects of Data Augmentation with the BNNSMOTE Algorithm in Seizure Detection Using 1D-MobileNet

<table class="table-group" id="tab2"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_left">Number</td><td class="align_center">Channel</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">Ch03</td><td class="align_center">T7-P7</td></tr><tr><td class="align_left">Ch04</td><td class="align_center">P7-O1</td></tr><tr><td class="align_left">Ch07</td><td class="align_center">C3-P3</td></tr><tr><td class="align_left">Ch08</td><td class="align_center">P3-O1</td></tr><tr><td class="align_left">Ch13</td><td class="align_center">FP2-F8</td></tr><tr><td class="align_left">Ch14</td><td class="align_center">F8-T8</td></tr><tr><td class="align_left">Ch15</td><td class="align_center">T8-P8</td></tr><tr><td class="align_left">Ch16</td><td class="align_center">P8-O2</td></tr><tr><td class="align_left">Ch20</td><td class="align_center">T7-FT9</td></tr><tr><td class="align_left">Ch22</td><td class="align_center">FT10-T8</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Channels retained after channel selection.</div>

Journal of Healthcare Engineering

tab2

Table 2

Table 2: Effects of Data Augmentation with the BNNSMOTE Algorithm in Seizure Detection Using 1D-MobileNet 