Research Article
A Deep Neural Network Ensemble Classifier with Focal Loss for Automatic Arrhythmia Classification
Table 8
Overall model performance metrics for our method and 6 advanced methods.
| ā | Acc (%) | +P (%) | Sen (%) | Spe (%) |
| DeChazal (2004) | 85.88 | 42.21 | 92.85 | 86.86 | Garcia (2017) | 92.38 | 59.36 | 81.73 | 93.99 | Takalo-mattila (2018) | 89.91 | 52.86 | 76.18 | 91.89 | Sellami (2019) | 88.34 | 48.25 | 90.90 | 88.51 | Jinghao Niu (2020) | 95.87 | 84.55 | 78.18 | 98.28 | Yuanlu Li (2021) | 88.99 | 56.82 | 52.10 | 94.75 | Our methods | 91.89 | 59.51 | 85.37 | 93.15 |
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