Table 1.
Task | Dataset | PR | BCG | PI | FF | PM | Diastolic blood pressure | Systolic blood pressure | ||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Corr | MAE | ME | STD | Corr | MAE | ME | STD | |||||||
1 | OS | ✓ | ✓ | ✓ | ✓ | ✓ | 0.84 | 3.31 | -0.36 | 8.31 | 0.90 | 5.97 | -0.18 | 6.60 |
2 | OS | ✓ | ✓ | ✓ | ✓ | × | 0.11 | 7.70 | −1.80 | 10.27 | 0.30 | 11.59 | −3.60 | 14.57 |
3 | Self-day | – | ✓ | – | – | ✓ | 0.93 | 2.78 | 0.15 | 4.06 | 0.91 | 5.42 | 0.32 | 7.91 |
4 | Self-day | – | ✓ | ✓ | – | ✓ | 0.94 | 2.66 | −0.04 | 3.88 | 0.92 | 5.25 | 0.03 | 7.55 |
5 | Self-day | – | ✓ | – | ✓ | ✓ | 0.95 | 2.56 | 0.15 | 3.69 | 0.92 | 5.03 | 0.30 | 7.26 |
6 | Self-day | – | ✓ | ✓ | ✓ | ✓ | 0.95 | 2.41 | 0.08 | 3.50 | 0.93 | 4.78 | 0.13 | 7.02 |
7 | Self-day | – | ✓ | ✓ | ✓ | × | 0.56 | 7.17 | −1.00 | 9.44 | 0.62 | 10.68 | −3.80 | 14.20 |
8 | Self-night | ✓ | ✓ | ✓ | ✓ | × | 0.06 | 11.90 | −0.08 | 15.34 | 0.14 | 19.11 | −0.10 | 24.92 |
9 | Self-night | ✓ | ✓ | ✓ | ✓ | ✓ | 0.94 | 3.46 | −0.15 | 4.75 | 0.91 | 6.93 | −0.27 | 9.48 |
10 | Self-night | × | ✓ | ✓ | ✓ | ✓ | 0.83 | 5.74 | −1.10 | 7.64 | 0.75 | 11.53 | −2.10 | 15.22 |
Investigation of the impact of different feature subsets, the personalization module, and the sleep posture recognition module. PR for posture recognition, BCG for ballistocardiogram, PI for personal information, FF for fiducial features, PM for personalization module, OS for open-source dataset, Self-Day for self-collected daytime dataset, Self-Night for self-collected nocturnal dataset, DBP for diastolic blood pressure, SBP for systolic blood pressure, Corr for Pearson correlation coefficient, MAE for mean absolute error, ME for mean error, STD for standard deviation of mean error.