Heartbeat Classification on MIT-BIH arrhythmia database (Intra-patient paradigm (randomly chosen sets))
99.92AccuracyProposed method (Sequence to sequence model)
Evaluation Results
| Method | Links | ||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Proposed method (Sequence to sequence model)Augmented Data=false, Architecture=LSTM sequence to sequence2018.12 | 99.92 | 100 | 99.86 | 98.87 | 96.48 | 100 | 100 | 99.5 | 99.79 | 99.98 | 98.68 | 97.4 | 99.98 | — | — | — | |
| Song et al.2018.12 | 98.7 | 9,950 | 98.9 | — | 86.4 | 9,430 | — | 95.8 | 97.4 | — | 73.6 | 90.2 | — | — | — | — | |
| Acharya et al.Augmented Data=true2018.12 | 97.37 | 9,164 | 85.17 | 96.01 | 89.04 | 9,476 | 9,877 | 94.07 | 95.08 | 98.74 | 95.21 | 94.69 | 98.67 | 97.39 | 98.4 | 99.61 | |
| Ye et al.2018.12 | 96.5 | 9,820 | 96.3 | — | 72.4 | 9,450 | — | 92.6 | 97.8 | — | 65.6 | 88.6 | — | 93.8 | 99.3 | — | |
| Yu and Chou2018.12 | 95.4 | 9,690 | 97.3 | — | 73.8 | 8,840 | — | 92.3 | 94.3 | — | 51 | 73.4 | — | 94.1 | 80.8 | — | |
| Kachuee et al.2018.12 | 93.4 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — |