Research Article
Support Vector Regression-Based Recursive Ensemble Methodology for Confidence Interval Estimation in Blood Pressure Measurements
Table 2
An exemplary result (one volunteer) is expressed to verify between the artificial features and original features for consistency and convergence [
17].
| Features/values | | | | | | | |
| TSBP | 111.20 | 111.16 | 109.05 | 113.50 | -0.04 | 2.18 | 1.08 | TDBP | 69.60 | 69.58 | 68.75 | 70.31 | -0.02 | 0.88 | 0.38 | MAP | 0.468 | 0.471 | 0.411 | 0.524 | 0.003 | 0.052 | 0.027 | AR | 0.459 | 0.462 | 0.433 | 0.493 | 0.003 | 0.034 | 0.016 | AE | 0.094 | 0.095 | 0.089 | 0.100 | 0.001 | 0.005 | 0.003 | EL | 0.125 | 0.126 | 0.112 | 0.138 | 0.001 | 0.013 | 0.007 | MA | 0.206 | 0.207 | 0.174 | 0.239 | 0.001 | 0.033 | 0.018 | STD1 | 0.156 | 0.155 | 0.124 | 0.178 | -0.001 | 0.036 | 0.018 | STD2 | 0.289 | 0.290 | 0.132 | 0.401 | 0.001 | 0.131 | 0.064 | MAPL | 0.264 | 0.263 | 0.239 | 0.287 | -0.001 | 0.022 | 0.011 |
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