Seizure Onset Prediction on CHB-MIT (patient-specific)
99RecallTsiouris et al.
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| Tsiouris et al.Features=Time-domain: Statistical moments, Standard Deviation, Peak-to-peak voltage Frequency-domain: Fast Fourier Transform, Power Spectral Density, Discrete Wavelet Transform, Classifier=LSTM, Preictal duration (min)=602026.06 | 99 | 0.06 | |
| EEG-FuseFormerFeatures=Raw Data and STFT fusion, Classifier=EEG-FuseFormer, Preictal duration (min)=602026.06 | 98.85 | 0.09 | |
| ResNet-18Features=STFT, Classifier=ResNet-18, Preictal duration (min)=602026.06 | 97.53 | 0.15 | |
| Jemal et al.Features=Raw Data, Classifier=CNN inspired by Filter Bank Common Spatial Pattern (FBCSP), Preictal duration (min)=302026.06 | 96.1 | 0.04 | |
| Zhang et al. [11]Features=Time-frequency domain with non-linear fusion, Classifier=CNN-GRU-AM2026.06 | 95.47 | — | |
| Ma et al.Features=Raw Data, Classifier=CNN-Bi-LSTM2026.06 | 94.84 | — | |
| 1D-CNN-LSTMFeatures=Raw Data, Classifier=1D-CNN-LSTM, Preictal duration (min)=602026.06 | 93.46 | 0.23 | |
| Lee et al.Features=STFT, Classifier=ResNet-LSTM, Preictal duration (min)=302026.06 | 92.71 | 0.05 | |
| Zhang et al.Features=Spatial pattern statistics, Classifier=CNN, Preictal duration (min)=302026.06 | 92.2 | 0.12 | |
| Wu et al.Features=Raw Data, Classifier=LSTM, Preictal duration (min)=602026.06 | 92.17 | 0.29 | |
| Truong et al.Features=STFT, Classifier=CNN, Preictal duration (min)=52026.06 | 81.2 | 0.16 |