Table 4.
Blood pressure (BP) Estimation Performance Comparison with Reference Machine Learning Methods.
| Methods (Feature + BP Model) |
Index | SBP | DBP | MAP |
|---|---|---|---|---|
| PCA + Lasso | MAErr (mmHg) | 12.25 | 9.57 | 8.59 |
| RMSErr (mmHg) | 15.68 | 13.21 | 12.01 | |
| PCA + RF | MAErr (mmHg) | 12.14 | 10.08 | 8.18 |
| RMSErr (mmHg) | 15.66 | 13.38 | 11.34 | |
| PCA + SVR | MAErr (mmHg) | 11.85 | 8.84 | 7.27 |
| RMSErr (mmHg) | 15.23 | 12.59 | 11.44 | |
| KernelPCA + Lasso | MAErr (mmHg) | 12.24 | 8.95 | 7.98 |
| RMSErr (mmHg) | 15.44 | 12.52 | 11.4 | |
| KernelPCA + RF | MAErr (mmHg) | 14.14 | 10.00 | 14.37 |
| RMSErr (mmHg) | 17.51 | 13.32 | 11.51 | |
| KernelPCA + SVR | MAErr (mmHg) | 11.83 | 8.80 | 7.26 |
| RMSErr (mmHg) | 15.22 | 12.58 | 11.44 | |
| The proposed | MAErr (mmHg) | 7.69 | 4.36 | 4.76 |
| RMSErr (mmHg) | 12.30 | 6.88 | 7.52 |