Table 5.
Comparative evaluation for the PhysioNet dataset.
| Study | Method | Average accuracy (%) |
Average sensitivity (%) |
Average specificity (%) |
|---|---|---|---|---|
| This Study | AEN | 99.80 | 99.65 | 99.13 |
| Ryu [70] | CNN | 79.5 | 70.8 | 88.2 |
| Langley [113] | Wavelet Entropy |
77 | 98 | 56 |
| Deperlioglu [120] Segmented | CNN | 97.21 | 94.78 | 99.65 |
| Thomae [121] | Deep Gated RNN |
55.0 | 99.0 | 11.0 |
| Nilanon [122] | CNN | 81.35 | 73.5 | 89.2 |
| Tschannen [123] | Wavelet- based deep CNN |
85.7 | 85.5 | 85.9 |
| Yang [124] | SVM | 83 | 70 | 96 |
| Puri [125] | SVM | 78.20 | 77.49 | 78.91 |
| Potes [126] | AdaBoost and CNN |
81.91 | 77.81 | 86.02 |