Table 7.
RMSE and MRE of the SBP and DBP prediction results from different models
| Subjects | GA-MIV-BP models | Regression models | ANN model based on PWTT | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| RMSE_S | MRE_S | RMSE_D | MRE_D | RMSE_S | MRE_S | RMSE_D | MRE_D | RMSE_S | MRE_S | RMSE_D | MRE_D | |
| Test_1 | 3.0420 | 2.41% | 2.9413 | 3.87% | 3.7176 | 3.08% | 4.5969 | 5.44% | 4.7255 | 3.96% | 4.0691 | 4.93% |
| Test_2 | 3.3081 | 2.61% | 1.6757 | 1.71% | 5.4799 | 3.91% | 5.9899 | 7.65% | 5.0957 | 4.06% | 1.7365 | 1.82% |
| Test_3 | 3.4543 | 2.70% | 2.4761 | 2.96% | 8.1623 | 7.94% | 6.8155 | 9.59% | 5.1674 | 4.38% | 5.6901 | 7.33% |
| Test_4 | 2.4662 | 2.04% | 2.6178 | 3.03% | 4.7583 | 3.91% | 5.4297 | 7.79% | 3.2022 | 3.06% | 3.4881 | 5.03% |
| Test_5 | 2.4165 | 1.79% | 2.9055 | 3.54% | 6.4733 | 5.33% | 6.0118 | 7.73% | 6.3368 | 5.51% | 4.8409 | 6.39% |
| Test_6 | 3.0869 | 2.44% | 2.1546 | 2.27% | 6.0896 | 4.92% | 5.3005 | 6.98% | 5.4932 | 4.41% | 5.3543 | 7.08% |
| Test_7 | 4.0977 | 3.37% | 2.8408 | 3.80% | 6.6318 | 5.80% | 6.7844 | 11.38% | 6.5084 | 5.98% | 4.2405 | 6.06% |
| Test_8 | 3.1423 | 2.68% | 2.5924 | 3.65% | 4.2564 | 3.16% | 3.2107 | 4.68% | 5.9482 | 4.47% | 4.1366 | 5.83% |
| Test_9 | 4.5070 | 3.17% | 2.6717 | 3.53% | 5.2784 | 4.10% | 5.2562 | 6.98% | 4.9569 | 3.82% | 5.6944 | 7.37% |
| Test_10 | 2.8102 | 2.37% | 2.7863 | 4.09% | 7.1870 | 6.95% | 7.2949 | 11.24% | 6.4674 | 5.93% | 5.9476 | 8.01% |