Heartbeat Classification on MIT-BIH Arrhythmia (DS2)
99.53AccuracySequence to sequence deep learning model
Evaluation Results
| Method | Links | ||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Sequence to sequence deep learning modelparadigm=Inter-patient, train_dataset=DS1, test_dataset=DS22018.12 | 99.53 | 99.68 | 99.55 | 96.05 | 88.94 | 92.57 | 99.72 | 99.94 | 99.5 | 99.97 | — | — | — | — | — | — | |
| Lin and Yang (2014)paradigm=Inter-patient, train_dataset=DS1, test_dataset=DS22018.12 | 93 | 91 | 99 | — | 81 | 31 | — | 86 | 73 | — | — | — | — | — | — | — | |
| Garcia et al. (2017)paradigm=Inter-patient, train_dataset=DS1, test_dataset=DS22018.12 | 92.4 | 94 | 98 | 82.6 | 62 | 53 | 97.9 | 87.3 | 59.4 | 95.9 | — | — | — | — | — | — | |
| Song et al. (2005)paradigm=Inter-patient, train_dataset=DS1, test_dataset=DS22018.12 | 86.3 | 79 | 83.9 | — | 27 | 48.3 | — | 80.8 | 38.7 | — | — | — | — | — | — | — | |
| Ye et al. (2010)paradigm=Inter-patient, train_dataset=DS1, test_dataset=DS22018.12 | 75.2 | 80.2 | 78.2 | — | 3.2 | — | 10.3 | 50.2 | 48.5 | — | — | — | — | — | — | — | |
| Yu and Chou (2008)paradigm=Inter-patient, train_dataset=DS1, test_dataset=DS22018.12 | 75.2 | 78.3 | 79.2 | — | 1.8 | 5.9 | — | 83.9 | 66.4 | — | 0.3 | 0.1 | — | — | — | — |