MIT-BIH
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Arrhythmia classification | MIT-BIH-SUP | Macro F161.5 | 21 | |
| Arrhythmia classification | MIT-BIH | Macro F159.3 | 21 | |
| Anomaly Detection | MIT-BIH | AUC97.59 | 12 | |
| Uncertainty Quantification | MIT-BIH | CU998 | 12 | |
| Peak Detection | MIT-BIH ECG | HR MAE (bpm)0.48 | 10 | |
| ECG biometric recognition | MIT-BIH | Accuracy100 | 8 | |
| segment-level identification | MIT-BIH closed-set segment-level (test) | Accuracy99.7553 | 8 | |
| Segment-level identification | MIT-BIH Open-set (test) | Accuracy98.2179 | 8 | |
| Time Series Reasoning | MIT-BIH | Accuracy61.4 | 7 | |
| ECG Classification | MIT-BIH | Accuracy98 | 6 | |
| ECG Classification | MIT-BIH (test) | Macro-F162.93 | 6 | |
| Arrhythmia Classification | MIT-BIH (test) | Average Accuracy98.4 | 4 | |
| Arrhythmia Detection | MIT-BIH (DS2) | Metric- | 0 |
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