Table 3.
Confusion matrix of the combined retrain transfer learning model for sleep stage classification.
| Predicted label → ↓ True label | Wake | N1/N2 | N3 | REM | Sensitivity (%) |
|---|---|---|---|---|---|
| Wake | 8,468 | 2,588 | 199 | 885 | 69.75 |
| N1/N2 | 2,670 | 31,449 | 4,332 | 3,347 | 75.24 |
| N3 | 68 | 6,127 | 14,570 | 182 | 69.56 |
| REM | 461 | 2,298 | 103 | 14,690 | 83.69 |
| PPV (%) | 72.58 | 74.06 | 75.87 | 76.89 |
Note: Results were obtained after classifying Wake, REM sleep, N1/N2 sleep, and N3 sleep in all epochs (n = 92,437) of all recordings on the Eindhoven PPG data set. Sensitivity and positive predictive value (PPV) for each class are presented.