Research Article
Machine Learning and Electrocardiography Signal-Based Minimum Calculation Time Detection for Blood Pressure Detection
Table 20
DBP prediction models for 14-second epoching.
| Info | Performance evaluation criteria | L | FN | FP | Model | MAPE | MAD | SE | MSE | RMSE | | |
| 1 | 1 | 5 | FT | 4.62 | 3.18 | 4.55 | 20.68 | 4.55 | 0.92 | 0.84 | GPR | 3.98 | 2.68 | 3.97 | 15.75 | 3.97 | 0.94 | 0.88 | EBT | 4.28 | 2.92 | 4.22 | 17.82 | 4.22 | 0.93 | 0.86 |
| 2 | 3 | 10 | FT | 4.18 | 2.83 | 4.29 | 18.36 | 4.29 | 0.94 | 0.89 | GPR | 4.16 | 2.83 | 8.41 | 70.58 | 8.40 | 0.94 | 0.88 | EBT | 4.24 | 2.64 | 4.44 | 19.69 | 4.44 | 0.94 | 0.88 |
| 3 | 4 | 15 | FT | 4.18 | 2.83 | 4.29 | 18.36 | 4.29 | 0.94 | 0.89 | GPR | 4.24 | 2.90 | 9.98 | 99.45 | 9.97 | 0.94 | 0.88 | EBT | 4.04 | 2.57 | 4.13 | 17.04 | 4.13 | 0.95 | 0.90 |
| 4 | 5 | 20 | FT | 4.25 | 2.92 | 4.40 | 19.29 | 4.39 | 0.94 | 0.89 | GPR | 9.65 | 7.18 | 174.80 | 30511.96 | 174.68 | 0.95 | 0.89 | EBT | 4.07 | 2.57 | 4.17 | 17.37 | 4.17 | 0.95 | 0.90 |
| 5 | 6 | 25 | FT | 4.10 | 2.77 | 4.41 | 19.42 | 4.41 | 0.95 | 0.91 | GPR | 4.85 | 3.31 | 23.40 | 546.56 | 23.38 | 0.95 | 0.90 | EBT | 3.83 | 2.41 | 4.04 | 16.32 | 4.04 | 0.96 | 0.91 |
| 6 | 8 | 30 | FT | 4.18 | 2.64 | 4.55 | 20.69 | 4.55 | 0.95 | 0.91 | GPR | 4.45 | 3.28 | 28.94 | 836.05 | 28.91 | 0.94 | 0.89 | EBT | 3.77 | 2.35 | 3.96 | 15.65 | 3.96 | 0.96 | 0.92 |
| 7 | 9 | 35 | FT | 4.18 | 2.64 | 4.55 | 20.69 | 4.55 | 0.95 | 0.91 | GPR | 4.51 | 2.86 | 9.87 | 97.34 | 9.87 | 0.95 | 0.90 | EBT | 3.87 | 2.39 | 4.06 | 16.44 | 4.05 | 0.96 | 0.92 |
| 8 | 10 | 40 | FT | 4.18 | 2.64 | 4.55 | 20.71 | 4.55 | 0.95 | 0.91 | GPR | 5.30 | 3.38 | 5.29 | 27.93 | 5.28 | 0.87 | 0.75 | EBT | 3.80 | 2.34 | 3.98 | 15.85 | 3.98 | 0.96 | 0.92 |
| 9 | 11 | 45 | FT | 4.16 | 2.62 | 4.53 | 20.53 | 4.53 | 0.95 | 0.91 | GPR | 5.19 | 3.83 | 40.68 | 1652.57 | 40.65 | 0.95 | 0.90 | EBT | 3.88 | 2.37 | 4.06 | 16.49 | 4.06 | 0.96 | 0.92 |
| 10 | 13 | 50 | FT | 3.75 | 2.51 | 4.18 | 17.43 | 4.17 | 0.95 | 0.91 | GPR | 3.60 | 2.26 | 3.77 | 14.22 | 3.77 | 0.96 | 0.92 | EBT | 3.65 | 2.22 | 3.84 | 14.72 | 3.84 | 0.96 | 0.93 |
| 11 | 25 | 100 | FT | 3.18 | 2.07 | 3.82 | 14.57 | 3.82 | 0.97 | 0.94 | GPR | 3.37 | 1.97 | 3.66 | 13.40 | 3.66 | 0.97 | 0.95 | EBT | 3.28 | 1.87 | 3.64 | 13.25 | 3.64 | 0.98 | 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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