Research Article
Machine Learning and Electrocardiography Signal-Based Minimum Calculation Time Detection for Blood Pressure Detection
Table 12
SBP prediction models for 18-second epoching.
| Info | Performance evaluation criteria | L | FN | FP | Model | MAPE | MAD | SE | MSE | RMSE | | |
| 1 | 1 | 5 | FT | 5.28 | 6.93 | 9.64 | 92.73 | 9.63 | 0.75 | 0.57 | GPR | 4.74 | 6.21 | 8.20 | 67.10 | 8.19 | 0.81 | 0.66 | EBT | 4.92 | 6.45 | 8.86 | 78.40 | 8.85 | 0.77 | 0.60 |
| 2 | 3 | 10 | FT | 4.01 | 5.30 | 7.89 | 62.06 | 7.88 | 0.88 | 0.77 | GPR | 4.55 | 5.97 | 7.80 | 60.80 | 7.80 | 0.85 | 0.72 | EBT | 3.83 | 5.00 | 7.24 | 52.29 | 7.23 | 0.89 | 0.80 |
| 3 | 4 | 15 | FT | 4.17 | 5.51 | 8.18 | 66.86 | 8.18 | 0.87 | 0.75 | GPR | 3.83 | 5.05 | 7.04 | 49.43 | 7.03 | 0.89 | 0.79 | EBT | 3.66 | 4.82 | 7.00 | 48.94 | 7.00 | 0.89 | 0.80 |
| 4 | 5 | 20 | FT | 4.17 | 5.51 | 8.18 | 66.86 | 8.18 | 0.87 | 0.75 | GPR | 3.83 | 5.05 | 7.02 | 49.13 | 7.01 | 0.89 | 0.79 | EBT | 3.73 | 4.90 | 7.08 | 50.05 | 7.07 | 0.89 | 0.79 |
| 5 | 6 | 25 | FT | 4.17 | 5.51 | 8.18 | 66.86 | 8.18 | 0.87 | 0.75 | GPR | 3.83 | 5.06 | 7.02 | 49.13 | 7.01 | 0.89 | 0.79 | EBT | 3.71 | 4.89 | 7.02 | 49.22 | 7.02 | 0.89 | 0.80 |
| 6 | 8 | 30 | FT | 3.72 | 4.93 | 7.59 | 57.58 | 7.59 | 0.89 | 0.79 | GPR | 3.71 | 4.90 | 6.92 | 47.74 | 6.91 | 0.89 | 0.80 | EBT | 3.30 | 4.33 | 6.38 | 40.59 | 6.37 | 0.92 | 0.84 |
| 7 | 9 | 35 | FT | 3.72 | 4.93 | 7.59 | 57.58 | 7.59 | 0.89 | 0.79 | GPR | 3.70 | 4.87 | 6.91 | 47.66 | 6.90 | 0.90 | 0.80 | EBT | 3.34 | 4.39 | 6.43 | 41.24 | 6.42 | 0.92 | 0.84 |
| 8 | 10 | 40 | FT | 3.70 | 4.91 | 7.58 | 57.35 | 7.57 | 0.89 | 0.80 | GPR | 3.70 | 4.88 | 6.89 | 47.33 | 6.88 | 0.90 | 0.80 | EBT | 3.34 | 4.39 | 6.40 | 40.90 | 6.39 | 0.92 | 0.84 |
| 9 | 11 | 45 | FT | 3.70 | 4.91 | 7.58 | 57.37 | 7.57 | 0.89 | 0.79 | GPR | 3.70 | 4.89 | 6.89 | 47.40 | 6.88 | 0.90 | 0.81 | EBT | 3.40 | 4.47 | 6.51 | 42.34 | 6.51 | 0.91 | 0.84 |
| 10 | 13 | 50 | FT | 2.76 | 3.69 | 5.67 | 32.10 | 5.67 | 0.96 | 0.92 | GPR | 2.65 | 3.56 | 5.13 | 26.25 | 5.12 | 0.96 | 0.91 | EBT | 2.57 | 3.41 | 5.03 | 25.24 | 5.02 | 0.96 | 0.92 |
| 11 | 25 | 100 | FT | 2.12 | 2.84 | 4.91 | 24.04 | 4.90 | 0.97 | 0.94 | GPR | 1.97 | 2.63 | 4.38 | 19.18 | 4.38 | 0.97 | 0.95 | EBT | 1.99 | 2.64 | 4.39 | 19.27 | 4.39 | 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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