BMC Systems Biology

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

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ISSN: 1752-0509

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