Table 3.
Performance of the models in detecting positional vs nonpositional sleep apnea.
| Method | Accuracy | Precision | Recall | F1-score |
| 3D-CNNa | 65.71 | 72.22 | 65.00 | 68.42 |
| Baseline (Zhu et al [25]) | 34.29 | 42.11 | 40.00 | 41.03 |
aCNN: convolutional neural network.
Performance of the models in detecting positional vs nonpositional sleep apnea.
| Method | Accuracy | Precision | Recall | F1-score |
| 3D-CNNa | 65.71 | 72.22 | 65.00 | 68.42 |
| Baseline (Zhu et al [25]) | 34.29 | 42.11 | 40.00 | 41.03 |
aCNN: convolutional neural network.