Research Article
Machine Learning and Electrocardiography Signal-Based Minimum Calculation Time Detection for Blood Pressure Detection
Table 22
DBP prediction models for 18-second epoching.
| Info | Performance evaluation criteria | L | FN | FP | Model | MAPE | MAD | SE | MSE | RMSE | | |
| 1 | 1 | 5 | FT | 5.86 | 4.37 | 6.31 | 39.75 | 6.30 | 0.76 | 0.57 | GPR | 5.21 | 3.87 | 5.41 | 29.17 | 5.40 | 0.82 | 0.67 | EBT | 5.44 | 4.04 | 5.76 | 33.14 | 5.76 | 0.78 | 0.61 |
| 2 | 3 | 10 | FT | 4.65 | 3.49 | 5.31 | 28.19 | 5.31 | 0.87 | 0.76 | GPR | 5.00 | 3.72 | 5.16 | 26.57 | 5.15 | 0.85 | 0.72 | EBT | 4.29 | 3.15 | 4.85 | 23.52 | 4.85 | 0.89 | 0.80 |
| 3 | 4 | 15 | FT | 4.75 | 3.56 | 5.50 | 30.17 | 5.49 | 0.86 | 0.75 | GPR | 4.27 | 3.18 | 4.68 | 21.90 | 4.68 | 0.89 | 0.79 | EBT | 4.15 | 3.08 | 4.69 | 21.98 | 4.69 | 0.89 | 0.80 |
| 4 | 5 | 20 | FT | 4.75 | 3.56 | 5.50 | 30.17 | 5.49 | 0.86 | 0.75 | GPR | 4.26 | 3.18 | 4.67 | 21.75 | 4.66 | 0.89 | 0.79 | EBT | 4.19 | 3.11 | 4.77 | 22.67 | 4.76 | 0.89 | 0.79 |
| 5 | 6 | 25 | FT | 4.75 | 3.56 | 5.50 | 30.17 | 5.49 | 0.86 | 0.75 | GPR | 4.25 | 3.17 | 4.65 | 21.60 | 4.65 | 0.89 | 0.79 | EBT | 4.16 | 3.09 | 4.72 | 22.23 | 4.71 | 0.89 | 0.80 |
| 6 | 8 | 30 | FT | 4.41 | 3.32 | 5.27 | 27.74 | 5.27 | 0.89 | 0.79 | GPR | 4.14 | 3.09 | 4.62 | 21.32 | 4.62 | 0.89 | 0.80 | EBT | 3.78 | 2.80 | 4.35 | 18.93 | 4.35 | 0.91 | 0.84 |
| 7 | 9 | 35 | FT | 4.41 | 3.32 | 5.27 | 27.74 | 5.27 | 0.89 | 0.79 | GPR | 4.13 | 3.08 | 4.60 | 21.15 | 4.60 | 0.90 | 0.80 | EBT | 3.78 | 2.79 | 4.36 | 19.00 | 4.36 | 0.92 | 0.84 |
| 8 | 10 | 40 | FT | 4.41 | 3.32 | 5.27 | 27.74 | 5.27 | 0.89 | 0.79 | GPR | 4.13 | 3.08 | 4.59 | 21.06 | 4.59 | 0.90 | 0.81 | EBT | 3.78 | 2.80 | 4.35 | 18.87 | 4.34 | 0.91 | 0.84 |
| 9 | 11 | 45 | FT | 4.41 | 3.32 | 5.27 | 27.73 | 5.27 | 0.89 | 0.79 | GPR | 4.14 | 3.09 | 4.60 | 21.09 | 4.59 | 0.90 | 0.81 | EBT | 3.81 | 2.82 | 4.38 | 19.19 | 4.38 | 0.92 | 0.84 |
| 10 | 13 | 50 | FT | 3.21 | 2.43 | 3.99 | 15.89 | 3.99 | 0.96 | 0.91 | GPR | 3.05 | 2.30 | 3.53 | 12.42 | 3.52 | 0.96 | 0.91 | EBT | 2.98 | 2.20 | 3.54 | 12.48 | 3.53 | 0.96 | 0.93 |
| 11 | 25 | 100 | FT | 2.58 | 1.95 | 3.63 | 13.17 | 3.63 | 0.97 | 0.94 | GPR | 2.53 | 1.89 | 3.39 | 11.48 | 3.39 | 0.97 | 0.94 | EBT | 2.49 | 1.83 | 3.24 | 10.45 | 3.23 | 0.97 | 0.95 |
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L: level; FN: number of feature; FP: percentage of feature; FT: fine tree; GPR: Gaussian process regression; EBT: ensemble bagged tree.
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