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

<table class="table-group" id="tab3"><tr><td><table class="table"><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr class="thead"><td class="align_center" colspan="2" rowspan="2"> </td><td class="align_center" colspan="2">True condition</td></tr><tr class="thead"><td class="align_center">Seizure</td><td class="align_center">Nonseizure</td></tr><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr><td class="align_left" rowspan="2">Predicted condition</td><td class="align_center">Seizure</td><td class="align_center">TP</td><td class="align_center">FP</td></tr><tr><td class="align_center">Nonseizure</td><td class="align_center">FN</td><td class="align_center">TN</td></tr><tr class="table-tr"><td colspan="4"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Journal of Healthcare Engineering

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Table 3

Table 3: Effects of Data Augmentation with the BNNSMOTE Algorithm in Seizure Detection Using 1D-MobileNet 