Research Article
Machine Learning and Electrocardiography Signal-Based Minimum Calculation Time Detection for Blood Pressure Detection
Table 23
DBP prediction models for 20-second epoching.
| Info | Performance evaluation criteria | L | FN | FP | Model | MAPE | MAD | SE | MSE | RMSE | | |
| 1 | 1 | 5 | FT | 5.58 | 4.16 | 6.09 | 36.96 | 6.08 | 0.77 | 0.59 | GPR | 5.21 | 3.85 | 5.48 | 29.96 | 5.47 | 0.80 | 0.63 | EBT | 5.25 | 3.91 | 5.65 | 31.89 | 5.65 | 0.78 | 0.61 |
| 2 | 3 | 10 | FT | 4.66 | 3.48 | 5.35 | 28.52 | 5.34 | 0.86 | 0.75 | GPR | 4.39 | 3.26 | 4.90 | 23.97 | 4.90 | 0.87 | 0.76 | EBT | 4.26 | 3.14 | 4.92 | 24.16 | 4.92 | 0.88 | 0.77 |
| 3 | 4 | 15 | FT | 4.65 | 3.47 | 5.34 | 28.48 | 5.34 | 0.86 | 0.75 | GPR | 4.41 | 3.28 | 4.91 | 24.06 | 4.91 | 0.87 | 0.75 | EBT | 4.20 | 3.11 | 4.89 | 23.84 | 4.88 | 0.88 | 0.77 |
| 4 | 5 | 20 | FT | 4.65 | 3.47 | 5.34 | 28.48 | 5.34 | 0.86 | 0.75 | GPR | 4.29 | 3.18 | 4.89 | 23.83 | 4.88 | 0.88 | 0.77 | EBT | 4.23 | 3.13 | 4.91 | 24.10 | 4.91 | 0.88 | 0.77 |
| 5 | 6 | 25 | FT | 4.19 | 3.14 | 4.86 | 23.54 | 4.85 | 0.89 | 0.79 | GPR | 4.39 | 3.26 | 4.93 | 24.26 | 4.93 | 0.87 | 0.76 | EBT | 3.87 | 2.84 | 4.58 | 20.89 | 4.57 | 0.91 | 0.82 |
| 6 | 8 | 30 | FT | 4.24 | 3.15 | 5.12 | 26.12 | 5.11 | 0.88 | 0.78 | GPR | 4.05 | 3.02 | 4.64 | 21.47 | 4.63 | 0.89 | 0.79 | EBT | 3.75 | 2.77 | 4.45 | 19.80 | 4.45 | 0.91 | 0.83 |
| 7 | 9 | 35 | FT | 4.24 | 3.15 | 5.12 | 26.12 | 5.11 | 0.88 | 0.78 | GPR | 4.04 | 3.00 | 4.63 | 21.40 | 4.63 | 0.89 | 0.79 | EBT | 3.83 | 2.83 | 4.53 | 20.49 | 4.53 | 0.91 | 0.82 |
| 8 | 10 | 40 | FT | 4.26 | 3.17 | 5.15 | 26.43 | 5.14 | 0.88 | 0.78 | GPR | 4.04 | 3.00 | 4.62 | 21.33 | 4.62 | 0.89 | 0.79 | EBT | 3.76 | 2.77 | 4.51 | 20.27 | 4.50 | 0.91 | 0.83 |
| 9 | 11 | 45 | FT | 4.25 | 3.15 | 5.14 | 26.33 | 5.13 | 0.88 | 0.78 | GPR | 4.06 | 3.02 | 4.63 | 21.44 | 4.63 | 0.89 | 0.79 | EBT | 3.78 | 2.79 | 4.49 | 20.14 | 4.49 | 0.91 | 0.83 |
| 10 | 13 | 50 | FT | 2.90 | 2.19 | 3.67 | 13.45 | 3.67 | 0.96 | 0.93 | GPR | 2.86 | 2.13 | 3.41 | 11.59 | 3.40 | 0.96 | 0.93 | EBT | 2.76 | 2.04 | 3.43 | 11.76 | 3.43 | 0.96 | 0.93 |
| 11 | 25 | 100 | FT | 2.72 | 2.02 | 3.77 | 14.17 | 3.76 | 0.97 | 0.94 | GPR | 2.49 | 1.85 | 3.14 | 9.82 | 3.13 | 0.97 | 0.95 | EBT | 2.37 | 1.75 | 3.17 | 10.04 | 3.17 | 0.97 | 0.95 |
|
|
L: level; FN: number of feature; FP: percentage of feature; FT: fine tree; GPR: Gaussian process regression; EBT: ensemble bagged tree.
|