Research Article
Machine Learning and Electrocardiography Signal-Based Minimum Calculation Time Detection for Blood Pressure Detection
Table 4
SBP prediction models for 2-second epoching.
| Info | Performance evaluation criteria | L | FN | FP | Model | MAPE | MAD | SE | MSE | RMSE | | |
| 1 | 1 | 5 | FT | 7.15 | 9.10 | 11.79 | 138.93 | 11.79 | 0.62 | 0.39 | GPR | 6.24 | 7.91 | 10.00 | 99.97 | 10.00 | 0.66 | 0.44 | EBT | 6.54 | 8.30 | 10.62 | 112.75 | 10.62 | 0.64 | 0.41 |
| 2 | 3 | 10 | FT | 5.38 | 6.92 | 10.04 | 100.83 | 10.04 | 0.79 | 0.62 | GPR | 6.31 | 7.99 | 9.99 | 99.84 | 9.99 | 0.66 | 0.44 | EBT | 4.64 | 5.95 | 8.33 | 69.45 | 8.33 | 0.83 | 0.69 |
| 3 | 4 | 15 | FT | 5.11 | 6.58 | 9.74 | 94.86 | 9.74 | 0.81 | 0.66 | GPR | 5.05 | 6.45 | 8.63 | 74.44 | 8.63 | 0.82 | 0.67 | EBT | 4.37 | 5.62 | 7.94 | 63.10 | 7.94 | 0.85 | 0.73 |
| 4 | 5 | 20 | FT | 5.11 | 6.58 | 9.74 | 94.86 | 9.74 | 0.81 | 0.66 | GPR | 4.99 | 6.38 | 8.57 | 73.49 | 8.57 | 0.82 | 0.67 | EBT | 4.35 | 5.59 | 7.91 | 62.58 | 7.91 | 0.86 | 0.73 |
| 5 | 6 | 25 | FT | 5.19 | 6.68 | 9.85 | 97.07 | 9.85 | 0.81 | 0.65 | GPR | 5.00 | 6.39 | 8.58 | 73.60 | 8.58 | 0.82 | 0.67 | EBT | 4.39 | 5.63 | 7.96 | 63.41 | 7.96 | 0.85 | 0.73 |
| 6 | 8 | 30 | FT | 5.20 | 6.69 | 9.87 | 97.46 | 9.87 | 0.81 | 0.65 | GPR | 4.93 | 6.30 | 8.52 | 72.49 | 8.51 | 0.82 | 0.68 | EBT | 4.37 | 5.61 | 7.91 | 62.57 | 7.91 | 0.86 | 0.73 |
| 7 | 9 | 35 | FT | 4.66 | 6.01 | 9.01 | 81.15 | 9.01 | 0.85 | 0.72 | GPR | 4.64 | 5.93 | 8.18 | 66.86 | 8.18 | 0.84 | 0.71 | EBT | 4.12 | 5.29 | 7.52 | 56.47 | 7.51 | 0.88 | 0.77 |
| 8 | 10 | 40 | FT | 4.22 | 5.47 | 8.25 | 68.11 | 8.25 | 0.88 | 0.78 | GPR | 4.10 | 5.28 | 7.32 | 53.54 | 7.32 | 0.88 | 0.78 | EBT | 3.73 | 4.82 | 6.90 | 47.54 | 6.89 | 0.90 | 0.81 |
| 9 | 11 | 45 | FT | 4.22 | 5.48 | 8.26 | 68.14 | 8.25 | 0.88 | 0.78 | GPR | 4.12 | 5.31 | 7.34 | 53.92 | 7.34 | 0.88 | 0.78 | EBT | 3.77 | 4.87 | 6.96 | 48.40 | 6.96 | 0.90 | 0.81 |
| 10 | 13 | 50 | FT | 3.24 | 4.24 | 6.44 | 41.41 | 6.43 | 0.95 | 0.90 | GPR | 2.86 | 3.73 | 5.39 | 29.06 | 5.39 | 0.96 | 0.92 | EBT | 2.76 | 3.60 | 5.32 | 28.29 | 5.32 | 0.96 | 0.92 |
| 11 | 25 | 100 | FT | 3.19 | 4.16 | 6.49 | 42.12 | 6.49 | 0.95 | 0.91 | GPR | 2.68 | 3.49 | 5.12 | 26.18 | 5.12 | 0.97 | 0.93 | EBT | 2.58 | 3.37 | 5.05 | 25.48 | 5.05 | 0.97 | 0.93 |
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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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