Research Article
Atrial Fibrillation Beat Identification Using the Combination of Modified Frequency Slice Wavelet Transform and Convolutional Neural Networks
Table 5
Comparison with reference studies.
| Algorithm | Data | Acc (%) | Se (%) | Sp (%) | AUC |
| Chen et al. [11] | 50 signals | — | 89.68 | 86.16 | — | Maji et al. [12] | 178 cycles | — | 90.48 | 92.89 | — | Ladavich and Ghoraani [13] | 14,600 beats | — | 90.67 | 88.87 | — | Proposed method | All recordings | 81.07 | 74.96 | 86.41 | 0.88 | Proposed method | All recordings but excluding one fold with extreme noisy recording | 84.85 | 79.05 | 89.99 | 0.92 |
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