Table 2.

End-to-end machine learning approaches for abnormality detection in EGG using TUAB dataset.

Studies	Year	Input	Architecture	ACC (%)
Schirrmeister et al. [13]	2017	Raw EEG data	Deep CNN	85.42
Roy et al. [44]	2018	Raw EEG data	1D-CNN–RNN	82.27
Amin et al. [45] *	2019	Raw EEG data	AlexNet + SVM	87.32
Roy et al. [11]	2019	Raw EEG data	1D-CNN–GRU ChronoNet	86.57
Yildirim et al. [43]	2020	Raw EEG data	1D-CNN	79.34
Gemein et al. [12]	2021	Raw EEG data	TCN Model	86.16
Khan et al. [46]	2023	Raw EEG data	Hybrid Model (LSTM and CNN)	85.00
Kiessner et al. [47] *	2023	Raw EEG data	Deep CNN [13]	86.59

* Used extra training data not included in TUAB.