ECG
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Multivariate Time-series Forecasting | ECG (test) | MAE0.04 | 33 | |
| Univariate Time Series Anomaly Detection | ECG UCR Archive (test) | F1 Score91.8 | 22 | |
| Classification | ECG (5% labels) | Accuracy84.95 | 19 | |
| Classification | ECG (1% labels) | Accuracy85.74 | 19 | |
| Knowledge-based reasoning | ECG | Accuracy (%)30.3 | 19 | |
| Multivariate Time Series Forecasting | ECG | MAE0.052 | 14 | |
| Short-term forecasting | ECG | MAE0.053 | 14 | |
| Time Series Classification | ECG (test) | Accuracy88 | 14 | |
| Classification | ECG | Accuracy46.93 | 13 | |
| Multivariate Time Series Classification | ECG (test) | Accuracy89.2 | 13 | |
| Multivariate Time Series Classification | ECG | Accuracy93 | 13 | |
| Time Series Classification | ECG | SM0.19 | 9 | |
| ECG Classification | ECG | 1-F1 Score0.28 | 9 | |
| Classification | ECG | Accuracy87.41 | 8 | |
| Time Series Generation | ECG5k (70% drop) | DS0.4 | 8 | |
| Time Series Generation | ECG200 (30% drop) | DS0.188 | 8 | |
| Dynamical systems reconstruction | ECG | Dstsp16.3 | 7 | |
| Scalar-on-function Regression | ECG | RMSE12.069 | 6 | |
| AD Classification | ECG (test) | Accuracy76 | 6 | |
| Ka Classification | ECG (test) | F1 Score0.53 | 6 | |
| Sex Classification | ECG (test) | F1 Score0.69 | 6 | |
| Age Estimation | ECG (test) | MAE12.97 | 6 | |
| RR Interval Estimation | ECG (test) | MAE (ms)87.69 | 6 | |
| Time Series Classification | ECG200 | Accuracy85.3 | 5 | |
| Time Series Anomaly Detection | ECG | AUC-ROC99.7 | 5 |
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