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Table 2 Detection performance comparisons on two benchmark datasets

From: A multi-context learning approach for EEG epileptic seizure detection

  CHB-MIT Dataset Bonn Dataset
Method Precision Recall F1-score Accuracy Precision Recall F1-score Accuracy
PSVM 0.8887 0.8766 0.8826 0.8136 1.0000 0.5593 0.7174 0.6060
PNN 0.6460 0.8981 0.7515 0.6630 0.9640 0.6301 0.7621 0.6990
PSDAEs 0.6625 0.8988 0.7627 0.6750 0.9760 0.7625 0.8561 0.8360
Context-EEG [17] 0.7408 0.9560 0.8348 0.7687 0.9980 0.8559 0.9215 0.9150
WT-PSVM 0.8142 0.9200 0.8638 0.7976 1.0000 0.8993 0.9470 0.9440
WT-PNN 0.8192 0.9863 0.8950 0.8485 1.0000 0.9025 0.9488 0.9460
WT-PSDAEs 0.9027 0.9177 0.9101 0.8594 1.0000 0.9276 0.9625 0.9610
WT-CtxEEG 0.9166 0.9837 0.9490 0.9222 1.0000 0.9634 0.9814 0.9810
WT-CtxFusionEEG 0.9608 0.9865 0.9725 0.9571 1.0000 1.0000 1.0000 1.0000