Research Article
Machine Learning and Electrocardiography Signal-Based Minimum Calculation Time Detection for Blood Pressure Detection
Table 15
DBP prediction models for 4-second epoching.
| Info | Performance evaluation criteria | L | FN | FP | Model | MAPE | MAD | SE | MSE | RMSE | | 2 |
| 1 | 1 | 5 | FT | 7.92 | 5.75 | 7.89 | 62.24 | 7.89 | 0.63 | 0.40 | GPR | 7.10 | 5.11 | 6.87 | 47.21 | 6.87 | 0.65 | 0.43 | EBT | 7.40 | 5.34 | 7.27 | 52.86 | 7.27 | 0.64 | 0.41 |
| 2 | 3 | 10 | FT | 4.87 | 3.53 | 5.57 | 31.06 | 5.57 | 0.92 | 0.85 | GPR | 5.00 | 3.56 | 5.34 | 28.54 | 5.34 | 0.90 | 0.82 | EBT | 4.11 | 2.93 | 4.71 | 22.13 | 4.70 | 0.94 | 0.88 |
| 3 | 4 | 15 | FT | 4.69 | 3.39 | 5.44 | 29.59 | 5.44 | 0.93 | 0.86 | GPR | 4.21 | 3.01 | 4.77 | 22.72 | 4.77 | 0.93 | 0.86 | EBT | 3.97 | 2.83 | 4.55 | 20.67 | 4.55 | 0.94 | 0.89 |
| 4 | 5 | 20 | FT | 4.69 | 3.39 | 5.44 | 29.59 | 5.44 | 0.93 | 0.86 | GPR | 4.17 | 2.98 | 4.74 | 22.41 | 4.73 | 0.93 | 0.86 | EBT | 3.97 | 2.83 | 4.56 | 20.81 | 4.56 | 0.94 | 0.88 |
| 5 | 6 | 25 | FT | 4.68 | 3.37 | 5.47 | 29.93 | 5.47 | 0.93 | 0.86 | GPR | 4.21 | 3.01 | 4.77 | 22.71 | 4.77 | 0.93 | 0.86 | EBT | 3.98 | 2.84 | 4.57 | 20.91 | 4.57 | 0.94 | 0.88 |
| 6 | 8 | 30 | FT | 4.72 | 3.40 | 5.49 | 30.11 | 5.49 | 0.93 | 0.86 | GPR | 4.20 | 3.00 | 4.75 | 22.59 | 4.75 | 0.93 | 0.86 | EBT | 4.01 | 2.86 | 4.60 | 21.13 | 4.60 | 0.94 | 0.88 |
| 7 | 9 | 35 | FT | 4.60 | 3.34 | 5.39 | 29.04 | 5.39 | 0.93 | 0.86 | GPR | 4.02 | 2.86 | 4.61 | 21.21 | 4.61 | 0.94 | 0.88 | EBT | 3.92 | 2.79 | 4.53 | 20.53 | 4.53 | 0.94 | 0.89 |
| 8 | 10 | 40 | FT | 4.44 | 3.20 | 5.24 | 27.42 | 5.24 | 0.93 | 0.87 | GPR | 3.84 | 2.73 | 4.45 | 19.83 | 4.45 | 0.94 | 0.89 | EBT | 3.74 | 2.66 | 4.39 | 19.28 | 4.39 | 0.95 | 0.90 |
| 9 | 11 | 45 | FT | 4.44 | 3.20 | 5.24 | 27.42 | 5.24 | 0.93 | 0.87 | GPR | 3.86 | 2.75 | 4.46 | 19.92 | 4.46 | 0.94 | 0.89 | EBT | 3.74 | 2.67 | 4.40 | 19.32 | 4.40 | 0.95 | 0.90 |
| 10 | 13 | 50 | FT | 3.97 | 2.84 | 4.76 | 22.60 | 4.75 | 0.96 | 0.91 | GPR | 3.42 | 2.42 | 3.99 | 15.92 | 3.99 | 0.96 | 0.93 | EBT | 3.39 | 2.40 | 4.04 | 16.32 | 4.04 | 0.96 | 0.93 |
| 11 | 25 | 100 | FT | 3.76 | 2.68 | 4.74 | 22.41 | 4.73 | 0.96 | 0.92 | GPR | 3.28 | 2.31 | 3.89 | 15.15 | 3.89 | 0.97 | 0.94 | EBT | 3.17 | 2.24 | 3.85 | 14.82 | 3.85 | 0.97 | 0.94 |
|
|
L: level; FN: number of feature; FP: percentage of feature; FT: fine tree; GPR: Gaussian process regression; EBT: ensemble bagged tree.
|