Table 6.
Comparison of performances of different methods.
| Input | Author | Method | TAC (%) | SE (%) | SP (%) |
|---|---|---|---|---|---|
| ECG | Jafari [43] | Handcrafted features, SVM | 94.8 | 94.1 | 95.4 |
| Chen et al. [44] | Handcrafted features, SVM | 82.1 | 83.2 | 80.2 | |
| Urtnasan et al. [25] | CNN | 96 | 96 | 96 | |
| Banluesombatkul et al. [34] | CNN | 79.45 | 77.6 | 80.1 | |
| Zarei and Asl [12] | Handcrafted features, SVM | 94.63 | 94.43 | 94.77 | |
| Tripathy [45] | Handcrafted features, kernel extreme learning machine | 76.37 | 78.02 | 74.64 | |
| Hassan and Haque [46] | Handcrafted features, RUSboot | 88.88 | 87.58 | 91.49 | |
| Hassan [47] | Handcrafted features, AdaBoost | 87.33 | 81.99 | 90.72 | |
| Our method | CNN | 96.1 | 96.1 | 96.2 |