Research Article
A Deep Neural Network Ensemble Classifier with Focal Loss for Automatic Arrhythmia Classification
Table 7
Classification performance results of our method and 6 advanced methods.
| Work | Acc | Class (N) | Class (S) | Class (V) | Sen (%) | +P (%) | Spe (%) | Sen (%) | +P (%) | Spe (%) | Sen (%) | +P (%) | Spe (%) |
| DeChazal (2004) | 85.88 | 99.16 | 86.86 | 94.00 | 38.53 | 75.94 | 95.35 | 81.59 | 77.74 | 98.78 | Garcia (2017) | 92.38 | 93.99 | 97.95 | 82.55 | 61.96 | 52.96 | 97.89 | 87.34 | 59.44 | 95.91 | Takalo-mattila (2018) | 89.91 | 91.89 | 97.00 | 76.83 | 62.49 | 55.86 | 98.11 | 89.23 | 50.85 | 94.02 | Sellami (2019) | 88.34 | 88.52 | 98.8 | 91.3 | 82.04 | 30.44 | 92.8 | 92.05 | 72.13 | 97.54 | Jinghao Niu (2020) | 95.87 | 98.28 | 97.39 | 78.69 | 77.35 | 73.29 | 98.92 | 85.08 | 91.75 | 99.47 | Yuanlu Li (2021) | 88.99 | 94.54 | 93.33 | 80.8 | 35.22 | 65.88 | 98.83 | 88.35 | 79.86 | 94.92 | Our methods | 91.89 | 93.15 | 98.18 | 86.00 | 80.23 | 49.40 | 96.85 | 90.99 | 83.09 | 98.72 |
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