Research Article
Machine Learning and Electrocardiography Signal-Based Minimum Calculation Time Detection for Blood Pressure Detection
Table 19
DBP prediction models for 12-second epoching.
| Info | Performance evaluation criteria | L | FN | FP | Model | MAPE | MAD | SE | MSE | RMSE | | 2 |
| 1 | 1 | 5 | FT | 6.68 | 4.75 | 6.85 | 46.83 | 6.84 | 0.71 | 0.50 | GPR | 5.97 | 4.20 | 5.89 | 34.62 | 5.88 | 0.78 | 0.60 | EBT | 6.19 | 4.37 | 6.22 | 38.69 | 6.22 | 0.74 | 0.55 |
| 2 | 3 | 10 | FT | 5.83 | 4.12 | 6.21 | 38.47 | 6.20 | 0.81 | 0.66 | GPR | 5.77 | 4.07 | 5.73 | 32.84 | 5.73 | 0.79 | 0.63 | EBT | 5.38 | 3.69 | 5.54 | 30.68 | 5.54 | 0.84 | 0.71 |
| 3 | 4 | 15 | FT | 5.83 | 4.12 | 6.21 | 38.47 | 6.20 | 0.81 | 0.66 | GPR | 5.77 | 4.07 | 5.74 | 32.88 | 5.73 | 0.79 | 0.63 | EBT | 5.28 | 3.64 | 5.50 | 30.19 | 5.49 | 0.84 | 0.71 |
| 4 | 5 | 20 | FT | 5.79 | 4.09 | 6.24 | 38.90 | 6.24 | 0.83 | 0.68 | GPR | 5.52 | 3.86 | 5.65 | 31.93 | 5.65 | 0.81 | 0.66 | EBT | 5.33 | 3.63 | 5.52 | 30.40 | 5.51 | 0.85 | 0.71 |
| 5 | 6 | 25 | FT | 5.15 | 3.62 | 5.71 | 32.59 | 5.71 | 0.88 | 0.77 | GPR | 4.72 | 3.28 | 5.07 | 25.63 | 5.06 | 0.88 | 0.77 | EBT | 4.78 | 3.23 | 4.99 | 24.88 | 4.99 | 0.89 | 0.80 |
| 6 | 8 | 30 | FT | 4.84 | 3.39 | 5.43 | 29.42 | 5.42 | 0.89 | 0.79 | GPR | 4.54 | 3.17 | 4.92 | 24.16 | 4.92 | 0.89 | 0.79 | EBT | 4.35 | 2.91 | 4.65 | 21.57 | 4.64 | 0.92 | 0.84 |
| 7 | 9 | 35 | FT | 4.84 | 3.39 | 5.43 | 29.42 | 5.42 | 0.89 | 0.79 | GPR | 4.48 | 3.14 | 4.86 | 23.58 | 4.86 | 0.89 | 0.79 | EBT | 4.39 | 2.93 | 4.72 | 22.22 | 4.71 | 0.91 | 0.84 |
| 8 | 10 | 40 | FT | 4.85 | 3.39 | 5.44 | 29.55 | 5.44 | 0.89 | 0.79 | GPR | 4.48 | 3.14 | 4.85 | 23.53 | 4.85 | 0.89 | 0.79 | EBT | 4.40 | 2.94 | 4.72 | 22.21 | 4.71 | 0.91 | 0.83 |
| 9 | 11 | 45 | FT | 4.81 | 3.37 | 5.44 | 29.53 | 5.43 | 0.89 | 0.80 | GPR | 4.48 | 3.13 | 4.85 | 23.50 | 4.85 | 0.89 | 0.79 | EBT | 4.40 | 2.95 | 4.72 | 22.21 | 4.71 | 0.91 | 0.83 |
| 10 | 13 | 50 | FT | 3.91 | 2.71 | 4.49 | 20.12 | 4.49 | 0.95 | 0.90 | GPR | 3.60 | 2.48 | 3.99 | 15.91 | 3.99 | 0.95 | 0.91 | EBT | 3.57 | 2.34 | 3.95 | 15.56 | 3.95 | 0.96 | 0.92 |
| 11 | 25 | 100 | FT | 3.15 | 2.17 | 4.01 | 16.09 | 4.01 | 0.97 | 0.94 | GPR | 2.88 | 1.99 | 3.49 | 12.18 | 3.49 | 0.97 | 0.95 | EBT | 3.01 | 1.95 | 3.52 | 12.35 | 3.51 | 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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