Seizure Detection on CHB-MIT dataset
99.8SensitivityHussein et al.
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| Hussein et al.Category=Transformer-based, Year=2022, Methodology=Multi-channel ViT + CWT2026.01 | 99.8 | 0.004 | |
| EEG-Titans (Memory)Category=Proposed Approach, Year=2025, Methodology=Titans + Sliding Attention2026.01 | 99.46 | 0.371 | |
| Lu et al.Category=TCN & Hybrid, Year=2023, Methodology=CBAM-3D CNN + BiLSTM (STFT)2026.01 | 98.4 | 0.017 | |
| Huang and et al.Category=TCN & Hybrid, Year=2024, Methodology=TCN + Self-Attention2026.01 | 97.37 | — | |
| Yan et al.Category=Transformer-based, Year=2022, Methodology=3-Tower Transformer + STFT2026.01 | 96.01 | 0.047 | |
| Hu et al.Category=Transformer-based, Year=2023, Methodology=Hybrid Transformer + Wavelet2026.01 | 91.7 | 0 | |
| Zheng et al.Category=Transformer-based, Year=2024, Methodology=Two-stage Set Transformer2026.01 | 80.1 | 0.11 |