Heartbeat Classification on MIT-BIH AR
PPV (VEB)
- 2014-06-30 — SVM Ensembles (II Leads): PPV (VEB) 90.9
- 2019-07-18 — ESN Ensembles (II Leads): PPV (VEB) 95.7
| Rank | Model | PPV (VEB) | Sensitivity (VEB) | Paper | Code | Year |
|---|---|---|---|---|---|---|
| 1 | ESN Ensembles (II Leads) | 95.7% | 92.7% | A Fast Machine Learning Model for ECG-Based Heartbeat Classification and Arrhythmia Detection | 2019 | |
| 2 | SVM Ensembles (II Leads) | 90.9% | 93.9% | A new hierarchical method for inter-patient heartbeat classification using random projections and RR intervals | 2014 | |
| 3 | ESN Ensembles (II Leads) | 95.7% | 92.7% | A Fast Machine Learning Model for ECG-Based Heartbeat Classification and Arrhythmia Detection | 2019 | |
| 4 | SVM Ensembles (II Leads) | 90.9% | 93.9% | A new hierarchical method for inter-patient heartbeat classification using random projections and RR intervals | 2014 |