CHB-MIT
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Seizure Forecasting | CHB-MIT Scalp EEG | Sensitivity (Sn)100 | 54 | |
| Seizure detection | CHB-MIT | Balanced Accuracy82.66 | 34 | |
| EEG classification | CHB-MIT | B-ACC80.13 | 30 | |
| Seizure Onset Prediction | CHB-MIT (patient-specific) | Recall99 | 11 | |
| Anomaly Detection | CHB-MIT | EER0.16 | 8 | |
| Seizure Detection | CHB-MIT dataset | Sensitivity99.8 | 7 | |
| Seizure Detection | CHB-MIT (test) | Balanced Accuracy80.13 | 6 | |
| Seizure Forecasting | CHB-MIT | Inference Latency (ms)32 | 4 | |
| Time Series Generation | CHB-MIT | Wasserstein Distance (Wass)0 | 3 |
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