| Paper | Code | Accuracy (Inter-Patient) | Accuracy (Intra-Patient) | ModelName | ReleaseDate |
|---|---|---|---|---|---|
| Inter- and intra- patient ECG heartbeat classification for arrhythmia detection: a sequence to sequence deep learning approach | ✓ Link | 99.53% | 99.92% | BiRNN | 2018-12-09 |
| Interpretability Analysis of Heartbeat Classification Based on Heartbeat Activity’s Global Sequence Features and BiLSTM-Attention Neural Network | 99.47% | BiLSTM-Attention | 2019-08-07 | ||
| Reservoir Computing Models for Patient-Adaptable ECG Monitoring in Wearable Devices | 99.11% | ESN+Reservoir Computing | 2019-07-22 | ||
| ECG Heartbeat Classification: A Deep Transferable Representation | ✓ Link | 93.4% | Deep residual CNN | 2018-04-19 | |
| Inter-Patient ECG Heartbeat Classification with Temporal VCG Optimized by PSO | 92.4% | TVCG_PSO | 2017-09-05 | ||
| Support vector machine based arrhythmia classification using reduced features | 76.3% | 98.7% | SVM | 2005-01-01 |