Table 5.

Comparison of studies conducted for the seizure detection task by using shared data sets.

Database	Authors	Year	Feature Extraction Method	Classification	Performance (%)
BONN	Hamed et al. [179]	2018	DWT	RBF-SVM	Accuracy = 100
	Savadkoohi et al. [184]	2020	FFT / WT	SVM	Accuracy = 100
	Jaiswal and Banka [180]	2018	PCA	RBF-SVM	Accuracy = 100
	Riaz et al. [182]	2015	EMD	SVM	High performance in the detection of seizures in case 1 and 2
	Ullah et al. [266]	2018	-	1D-CNN	Accuracy = 99.1
	Lu and Triesch [265]	2019	-	Residual CNN	Accuracy = 99
	Chakraborty and Mitra [185]	2021	VMD	RF	Accuracy = 98.7–100
	Ech-Choudany et al. [186]	2021	Dissimilarity-based TFD	LDA	Accuracy = 98
	Mardini et al. [183]	2020	DWT	ANNs	Accuracy = 97.8
	Liu et al. [181]	2017	WPD	ELM	Accuracy = 97.7
	Murugappan and Ramakrishnan [118]	2016	WT	H-MSVM	Accuracy = 94
	Kaya and Ertugrul [187]	2018	1D-TP	RF	Accuracy > 94
CHB-MIT	Pinto-Orellana and Cerqueira [190]	2016	PCA	RF	Sensitivity = 97.1 Specificity = 99.2
	Shoeb et al. [191]	2011	-	SVM	Sensitivity = 96
	Fergus et al. [189]	2015	PCA	KNN	Sensitivity = 93 Specificity = 94
	Usman et al. [192]	2017	EMD	SVM	Sensitivity = 92.2 Specificity = 93.4
European Epilepsy	Teixeira et al. [199]	2014	WT	ANNs	Sensitivity = 73.1
	Direito et al. [198]	2017	DWT	Linear-SVM	High performance in a small subset of participants
	Bandarabadi et al. [200]	2015	MDADH	SVM	Sensitivity = 73.98