Table 7 Two-class classification performance of the AFibNet with intra-patient mechanism
From: AFibNet: an implementation of atrial fibrillation detection with convolutional neural network
Fold | Performances (%) | ||||
|---|---|---|---|---|---|
Accuracy | Sensitivity | Specifisity | Precision | F1-Score | |
1 | 76.29 | 57.02 | 79.10 | 53.19 | 54.12 |
2 | 96.37 | 94.90 | 97.28 | 91.83 | 93.24 |
3 | 98.02 | 96.64 | 98.46 | 95.66 | 96.14 |
4 | 99.08 | 98.41 | 99.27 | 97.97 | 98.19 |
5 | 99.29 | 98.88 | 99.46 | 98.24 | 98.55 |
6 | 98.88 | 98.13 | 99.14 | 97.36 | 97.73 |
7 | 99.34 | 98.89 | 99.49 | 98.41 | 98.64 |
8 | 98.22 | 97.10 | 98.46 | 96.59 | 96.83 |
9 | 99.18 | 98.48 | 99.34 | 98.08 | 98.28 |
10 | 98.91 | 98.01 | 99.13 | 97.39 | 97.69 |
Average | 96.36 | 93.65 | 96.92 | 92.47 | 92.94 |