Real-time Seizure Detection on TUH EEG raw bipolar (test) benchmark leaderboard · SOTA2 Research

Real-time Seizure Detection on TUH EEG raw bipolar (test)

0.92AUROCResNet-short + LSTM

Evaluation Results

Method	Links
ResNet-short + LSTM2022.01		0.92	0.81	0.91	0.91	0.62	0.65	0.941	0.013
ResNet-short + Dilation + LSTM2022.01		0.91	0.76	0.9	0.9	0.58	0.61	0.682	0.031
CNN2D + BLSTM2022.01		0.9	0.67	0.85	0.81	0.57	0.64	0.224	0.005
CNN2D + LSTM2022.01		0.89	0.63	0.84	0.83	0.56	0.51	0.079	0.004
MobileNet V3-short + LSTM2022.01		0.89	0.7	0.87	0.87	0.53	0.59	0.266	0.009
MobileNet V32022.01		0.85	0.64	0.83	0.77	0.47	0.55	2.588	0.055
AlexNet2022.01		0.83	0.56	0.81	0.76	0.59	0.63	0.079	0.015
CNN1D + BLSTM2022.01		0.82	0.57	0.8	0.78	0.56	0.51	0.021	0.004
ChronoNet2022.01		0.82	0.58	0.82	0.8	0.39	0.47	0.356	0.043
CNN1D + LSTM2022.01		0.81	0.59	0.8	0.79	0.33	0.4	0.009	0.003
ResNet182022.01		0.81	0.56	0.78	0.75	0.3	0.34	1.446	0.04
Guided Feature Transformer2022.01		0.81	0.46	0.73	0.8	0.35	0.47	0.1646	0.0072
Feature Transformer2022.01		0.8	0.56	0.72	0.72	0.49	0.55	0.1231	0.0074
DenseNet2022.01		0.6	0.37	0.75	0.75	0.2	0.34	3.49	0.24
TDNN + LSTM2022.01		0.6	0.35	0.79	0.73	0.08	0.13	0.0136	0.0061