Research Article
Machine Learning and Electrocardiography Signal-Based Minimum Calculation Time Detection for Blood Pressure Detection
Table 8
SBP prediction models for 10-second epoching.
| Info | Performance evaluation criteria | L | FN | FP | Model | MAPE | MAD | SE | MSE | RMSE | | |
| 1 | 1 | 5 | FT | 5.68 | 7.42 | 10.29 | 105.82 | 10.29 | 0.71 | 0.50 | GPR | 5.17 | 6.74 | 8.85 | 78.30 | 8.85 | 0.75 | 0.57 | EBT | 5.31 | 6.92 | 9.37 | 87.64 | 9.36 | 0.73 | 0.53 |
| 2 | 3 | 10 | FT | 5.10 | 6.68 | 9.91 | 98.04 | 9.90 | 0.77 | 0.59 | GPR | 5.08 | 6.63 | 8.75 | 76.43 | 8.74 | 0.76 | 0.58 | EBT | 4.73 | 6.16 | 8.59 | 73.71 | 8.59 | 0.81 | 0.65 |
| 3 | 4 | 15 | FT | 5.10 | 6.68 | 9.91 | 98.04 | 9.90 | 0.77 | 0.59 | GPR | 5.07 | 6.62 | 8.74 | 76.39 | 8.74 | 0.76 | 0.58 | EBT | 4.66 | 6.08 | 8.57 | 73.33 | 8.56 | 0.81 | 0.65 |
| 4 | 5 | 20 | FT | 5.09 | 6.66 | 9.91 | 98.20 | 9.91 | 0.77 | 0.60 | GPR | 4.91 | 6.39 | 8.66 | 74.92 | 8.66 | 0.78 | 0.61 | EBT | 4.57 | 5.97 | 8.50 | 72.24 | 8.50 | 0.81 | 0.66 |
| 5 | 6 | 25 | FT | 4.57 | 5.97 | 9.03 | 81.45 | 9.02 | 0.83 | 0.68 | GPR | 4.91 | 6.39 | 8.66 | 74.92 | 8.66 | 0.78 | 0.61 | EBT | 4.13 | 5.39 | 7.73 | 59.69 | 7.73 | 0.86 | 0.73 |
| 6 | 8 | 30 | FT | 4.59 | 5.99 | 9.13 | 83.22 | 9.12 | 0.83 | 0.68 | GPR | 4.46 | 5.82 | 8.15 | 66.38 | 8.15 | 0.83 | 0.68 | EBT | 4.01 | 5.22 | 7.70 | 59.19 | 7.69 | 0.86 | 0.74 |
| 7 | 9 | 35 | FT | 4.56 | 5.96 | 9.11 | 82.98 | 9.11 | 0.83 | 0.68 | GPR | 4.46 | 5.81 | 8.15 | 66.28 | 8.14 | 0.83 | 0.68 | EBT | 3.99 | 5.21 | 7.67 | 58.82 | 7.67 | 0.86 | 0.74 |
| 8 | 10 | 40 | FT | 4.60 | 6.02 | 9.14 | 83.52 | 9.14 | 0.82 | 0.68 | GPR | 4.47 | 5.82 | 8.15 | 66.39 | 8.15 | 0.83 | 0.68 | EBT | 4.01 | 5.23 | 7.70 | 59.23 | 7.70 | 0.86 | 0.74 |
| 9 | 11 | 45 | FT | 4.60 | 6.01 | 9.14 | 83.39 | 9.13 | 0.82 | 0.68 | GPR | 4.44 | 5.79 | 8.14 | 66.20 | 8.14 | 0.83 | 0.68 | EBT | 3.99 | 5.21 | 7.68 | 58.85 | 7.67 | 0.86 | 0.74 |
| 10 | 13 | 50 | FT | 2.97 | 3.93 | 6.07 | 36.86 | 6.07 | 0.95 | 0.90 | GPR | 2.66 | 3.51 | 5.17 | 26.75 | 5.17 | 0.96 | 0.91 | EBT | 2.58 | 3.41 | 5.14 | 26.39 | 5.14 | 0.96 | 0.92 |
| 11 | 25 | 100 | FT | 2.40 | 3.21 | 5.44 | 29.60 | 5.44 | 0.97 | 0.93 | GPR | 2.17 | 2.88 | 4.50 | 20.27 | 4.50 | 0.97 | 0.95 | EBT | 2.08 | 2.75 | 4.37 | 19.11 | 4.37 | 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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