Research Article
Machine Learning and Electrocardiography Signal-Based Minimum Calculation Time Detection for Blood Pressure Detection
Table 10
SBP prediction models for 14-second epoching.
| Info | Performance evaluation criteria | L | FN | FP | Model | MAPE | MAD | SE | MSE | RMSE | | |
| 1 | 1 | 5 | FT | 3.56 | 4.75 | 6.42 | 41.10 | 6.41 | 0.92 | 0.84 | GPR | 3.02 | 4.02 | 5.39 | 29.00 | 5.39 | 0.94 | 0.87 | EBT | 3.31 | 4.41 | 5.90 | 34.81 | 5.90 | 0.92 | 0.85 |
| 2 | 3 | 10 | FT | 3.23 | 4.33 | 6.12 | 37.41 | 6.12 | 0.94 | 0.88 | GPR | 3.28 | 4.38 | 12.62 | 159.13 | 12.61 | 0.94 | 0.88 | EBT | 2.96 | 3.91 | 5.70 | 32.48 | 5.70 | 0.94 | 0.89 |
| 3 | 4 | 15 | FT | 3.23 | 4.33 | 6.12 | 37.41 | 6.12 | 0.94 | 0.88 | GPR | 3.73 | 5.01 | 27.49 | 754.77 | 27.47 | 0.94 | 0.88 | EBT | 2.88 | 3.82 | 5.44 | 29.54 | 5.44 | 0.94 | 0.89 |
| 4 | 5 | 20 | FT | 3.18 | 4.28 | 6.06 | 36.63 | 6.05 | 0.94 | 0.89 | GPR | 4.97 | 6.77 | 105.52 | 11118.50 | 105.44 | 0.95 | 0.90 | EBT | 2.85 | 3.78 | 5.43 | 29.41 | 5.42 | 0.95 | 0.90 |
| 5 | 6 | 25 | FT | 3.01 | 4.02 | 5.91 | 34.90 | 5.91 | 0.95 | 0.90 | GPR | 3.58 | 4.83 | 30.51 | 929.23 | 30.48 | 0.95 | 0.90 | EBT | 2.72 | 3.58 | 5.35 | 28.60 | 5.35 | 0.96 | 0.91 |
| 6 | 8 | 30 | FT | 2.93 | 3.91 | 5.99 | 35.81 | 5.98 | 0.95 | 0.91 | GPR | 5.40 | 7.36 | 117.78 | 13851.43 | 117.69 | 0.95 | 0.90 | EBT | 2.59 | 3.43 | 5.06 | 25.61 | 5.06 | 0.96 | 0.92 |
| 7 | 9 | 35 | FT | 2.93 | 3.91 | 5.99 | 35.81 | 5.98 | 0.95 | 0.91 | GPR | 3.97 | 5.22 | 7.43 | 55.09 | 7.42 | 0.86 | 0.75 | EBT | 2.61 | 3.45 | 5.11 | 26.03 | 5.10 | 0.96 | 0.92 |
| 8 | 10 | 40 | FT | 2.92 | 3.90 | 5.96 | 35.48 | 5.96 | 0.95 | 0.91 | GPR | 4.96 | 6.72 | 101.53 | 10293.64 | 101.46 | 0.95 | 0.90 | EBT | 2.61 | 3.46 | 5.13 | 26.25 | 5.12 | 0.96 | 0.92 |
| 9 | 11 | 45 | FT | 2.91 | 3.89 | 5.96 | 35.45 | 5.95 | 0.95 | 0.91 | GPR | 3.97 | 5.22 | 7.48 | 55.84 | 7.47 | 0.86 | 0.75 | EBT | 2.62 | 3.47 | 5.22 | 27.23 | 5.22 | 0.96 | 0.92 |
| 10 | 13 | 50 | FT | 2.76 | 3.65 | 5.70 | 32.49 | 5.70 | 0.95 | 0.91 | GPR | 2.49 | 3.33 | 4.81 | 23.14 | 4.81 | 0.96 | 0.93 | EBT | 2.47 | 3.27 | 4.85 | 23.50 | 4.85 | 0.96 | 0.93 |
| 11 | 25 | 100 | FT | 2.24 | 3.00 | 5.14 | 26.41 | 5.14 | 0.97 | 0.94 | GPR | 2.00 | 2.68 | 4.38 | 19.19 | 4.38 | 0.98 | 0.95 | EBT | 2.05 | 2.72 | 4.39 | 19.22 | 4.38 | 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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