. 2024 May 11;14:10792. doi: 10.1038/s41598-024-61338-2

Table 4.

Comparison results of the proposed method with previous works.

Feature	Classifier	Dataset	Result	Reference
Spectrogram	Convolutional neural network	TUH	Acc. 88.30%	³⁹
Automated identification without feature extraction	One-dimensional deep convolutional neural network	TUH	Acc. 79.34%	²⁵
32 Features extracted from EEG signals	Base-2-Meta	TUH	Acc. 98%	This work