TABLE 4. Comparison to Recent Epileptic Seizure Prediction Methods on CHB-MIT Scalp EEG Database.

Authors	Dataset	Features	Classifier	No. of seizures	No. of subjects	Validation methods	FPR (/h)	Sens (%)	Interictal distance (minutes)	Preictal length (minutes)
Zandi et al. 2013 [29]	CHB-MIT	Zero crossings similarity/dissimilarity index	–	18	3	–	0.165	83.81	60	40
Cho et al. 2017 [31]	CHB-MIT	Phase locking value	SVM	65	21	10-Fold CV	–	82.44	30	5
Truong et al. 2018 [13]	CHB-MIT	STFT spectral images	CNN	64	13	LOOCV	0.16	81.2	240	30
Khan et al. 2018 [32]	CHB-MIT	Wavelet transform coefficient	CNN	18	15	10-Fold CV	0.147	87.8	–	10
Ozcan et al. 2019 [15]	CHB-MIT	Spectral power Statistical moments Hjorth parameters	3D CNN	77	16	LOOCV	0.202	79.2	60	30
							0.096	85.7	240	60
Zhang et al. 2020 [33]	CHB-MIT	Common spatial pattern statistics	CNN	156	23	LOOCV	0.10	93.1	–	30
Our work	CHB-MIT	CNN	CNN	85	16	LOOCV	0.007	93.3	60	30

Abbreviations: 10-fold CV = 10-Fold Cross-Validation, LOOCV = Leave One Out Cross-Validation