. Author manuscript; available in PMC: 2023 Jan 19.

Published in final edited form as: Comput Methods Programs Biomed. 2021 Dec 29;215:106604. doi: 10.1016/j.cmpb.2021.106604

Table 2.

Experimental results of the state-of-the-art supervised seizure identification methods applied on the same datasets we employ.

Dataset	Study	Methodology	Seizure Identification Performance
UPenn	Sun et al. [30]	Echo State Network → SVM	0.81 AUC
	Zhu and Shoaran [10]	Power spectra → Patient-independent adversarial learning	0.71 Accuracy
TUH	Zhang et al. [14]	Patient-independent adversarial feature extraction → CNN	0.8 Accuracy
	Li et al. [13]	Spectral-temporal Squeeze and-Excitation Network	0.92 Accuracy
MIT	Mehla et al. [8]	Fourier function norms → SVM	0.99 Accuracy
	Chakrabarti et al. [11]	Channel-independent LSTM	0.99 Accuracy