Table 1 Classification scores on MIT-BIH database
From: A hybrid deep learning network for automatic diagnosis of cardiac arrhythmia based on 12-lead ECG
No. | Accuracy (%) | Precision (%) | Specificity (%) | F1-Score (%) |
|---|---|---|---|---|
1 | 99.43 | 99.52 | 99.90 | 99.31 |
2 | 99.46 | 98.95 | 98.73 | 97.42 |
3 | 99.37 | 98.93 | 99.93 | 98.96 |
4 | 99.35 | 99.15 | 99.96 | 99.13 |
5 | 99.26 | 98.94 | 99.74 | 99.32 |
6 | 99.38 | 99.23 | 99.65 | 98.99 |
7 | 99.55 | 99.42 | 99.47 | 99.65 |
8 | 99.26 | 99.13 | 99.52 | 97.69 |
9 | 99.35 | 98.97 | 99.32 | 99.35 |
10 | 99.43 | 99.17 | 99.84 | 99.26 |
Mean | 99.41 | 99.15 | 99.68 | 99.21 |
