Research Article
Machine Learning and Electrocardiography Signal-Based Minimum Calculation Time Detection for Blood Pressure Detection
Table 6
SBP prediction models for 6-second epoching.
| Info | Performance evaluation criteria | L | FN | FP | Model | MAPE | MAD | SE | MSE | RMSE | | |
| 1 | 1 | 5 | FT | 6.31 | 8.19 | 11.09 | 122.81 | 11.08 | 0.65 | 0.42 | GPR | 5.58 | 7.22 | 9.52 | 90.49 | 9.51 | 0.70 | 0.49 | EBT | 5.87 | 7.60 | 10.14 | 102.83 | 10.14 | 0.67 | 0.44 |
| 2 | 3 | 10 | FT | 5.11 | 6.68 | 9.80 | 95.97 | 9.80 | 0.79 | 0.62 | GPR | 5.68 | 7.34 | 9.56 | 91.31 | 9.56 | 0.70 | 0.49 | EBT | 4.63 | 6.01 | 8.39 | 70.43 | 8.39 | 0.82 | 0.68 |
| 3 | 4 | 15 | FT | 5.11 | 6.67 | 9.79 | 95.81 | 9.79 | 0.79 | 0.62 | GPR | 5.67 | 7.33 | 9.56 | 91.24 | 9.55 | 0.70 | 0.50 | EBT | 4.58 | 5.94 | 8.36 | 69.83 | 8.36 | 0.83 | 0.68 |
| 4 | 5 | 20 | FT | 5.11 | 6.67 | 9.79 | 95.81 | 9.79 | 0.79 | 0.62 | GPR | 5.67 | 7.34 | 9.56 | 91.27 | 9.55 | 0.70 | 0.49 | EBT | 4.59 | 5.97 | 8.38 | 70.12 | 8.37 | 0.82 | 0.68 |
| 5 | 6 | 25 | FT | 5.08 | 6.64 | 9.89 | 97.72 | 9.89 | 0.79 | 0.62 | GPR | 5.07 | 6.56 | 8.97 | 80.47 | 8.97 | 0.78 | 0.61 | EBT | 4.46 | 5.79 | 8.23 | 67.75 | 8.23 | 0.83 | 0.70 |
| 6 | 8 | 30 | FT | 5.08 | 6.64 | 9.89 | 97.79 | 9.89 | 0.79 | 0.62 | GPR | 4.99 | 6.45 | 8.89 | 79.01 | 8.89 | 0.78 | 0.61 | EBT | 4.45 | 5.79 | 8.22 | 67.58 | 8.22 | 0.83 | 0.70 |
| 7 | 9 | 35 | FT | 5.03 | 6.58 | 9.80 | 96.04 | 9.80 | 0.79 | 0.62 | GPR | 4.97 | 6.44 | 8.88 | 78.79 | 8.88 | 0.78 | 0.61 | EBT | 4.43 | 5.77 | 8.22 | 67.52 | 8.22 | 0.83 | 0.70 |
| 8 | 10 | 40 | FT | 5.05 | 6.61 | 9.80 | 95.97 | 9.80 | 0.79 | 0.63 | GPR | 4.97 | 6.44 | 8.88 | 78.77 | 8.88 | 0.78 | 0.61 | EBT | 4.45 | 5.80 | 8.28 | 68.56 | 8.28 | 0.83 | 0.69 |
| 9 | 11 | 45 | FT | 4.59 | 6.01 | 9.23 | 85.13 | 9.23 | 0.83 | 0.70 | GPR | 4.80 | 6.20 | 8.57 | 73.41 | 8.57 | 0.81 | 0.65 | EBT | 4.19 | 5.45 | 7.85 | 61.59 | 7.85 | 0.86 | 0.74 |
| 10 | 13 | 50 | FT | 2.98 | 3.95 | 6.27 | 39.31 | 6.27 | 0.95 | 0.91 | GPR | 2.62 | 3.47 | 5.28 | 27.87 | 5.28 | 0.96 | 0.92 | EBT | 2.57 | 3.41 | 5.26 | 27.61 | 5.25 | 0.96 | 0.92 |
| 11 | 25 | 100 | FT | 2.73 | 3.61 | 6.06 | 36.68 | 6.06 | 0.96 | 0.92 | GPR | 2.36 | 3.13 | 4.94 | 24.41 | 4.94 | 0.97 | 0.94 | EBT | 2.27 | 3.00 | 4.83 | 23.31 | 4.83 | 0.97 | 0.94 |
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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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