Research Article
Machine Learning and Electrocardiography Signal-Based Minimum Calculation Time Detection for Blood Pressure Detection
Table 5
SBP prediction models for 4-second epoching.
| Info | Performance evaluation criteria | L | FN | FP | Model | MAPE | MAD | SE | MSE | RMSE | | |
| 1 | 1 | 5 | FT | 6.54 | 8.45 | 11.24 | 126.33 | 11.24 | 0.63 | 0.40 | GPR | 5.86 | 7.55 | 9.73 | 94.61 | 9.73 | 0.66 | 0.43 | EBT | 6.09 | 7.85 | 10.30 | 106.13 | 10.30 | 0.64 | 0.41 |
| 2 | 3 | 10 | FT | 3.83 | 5.01 | 7.40 | 54.74 | 7.40 | 0.92 | 0.85 | GPR | 4.09 | 5.28 | 7.30 | 53.20 | 7.29 | 0.91 | 0.82 | EBT | 3.22 | 4.20 | 6.20 | 38.43 | 6.20 | 0.94 | 0.87 |
| 3 | 4 | 15 | FT | 3.60 | 4.73 | 7.14 | 50.94 | 7.14 | 0.93 | 0.86 | GPR | 3.27 | 4.28 | 6.31 | 39.83 | 6.31 | 0.93 | 0.86 | EBT | 3.04 | 3.99 | 5.94 | 35.24 | 5.94 | 0.94 | 0.89 |
| 4 | 5 | 20 | FT | 3.60 | 4.73 | 7.14 | 50.94 | 7.14 | 0.93 | 0.86 | GPR | 3.28 | 4.29 | 6.30 | 39.73 | 6.30 | 0.93 | 0.86 | EBT | 3.04 | 3.99 | 5.94 | 35.21 | 5.93 | 0.94 | 0.88 |
| 5 | 6 | 25 | FT | 3.63 | 4.77 | 7.22 | 52.07 | 7.22 | 0.93 | 0.86 | GPR | 3.27 | 4.28 | 6.30 | 39.67 | 6.30 | 0.93 | 0.86 | EBT | 3.07 | 4.02 | 5.97 | 35.61 | 5.97 | 0.94 | 0.88 |
| 6 | 8 | 30 | FT | 3.63 | 4.77 | 7.25 | 52.50 | 7.25 | 0.93 | 0.86 | GPR | 3.26 | 4.27 | 6.29 | 39.56 | 6.29 | 0.93 | 0.86 | EBT | 3.05 | 4.01 | 5.96 | 35.53 | 5.96 | 0.94 | 0.89 |
| 7 | 9 | 35 | FT | 3.56 | 4.68 | 7.09 | 50.19 | 7.08 | 0.93 | 0.86 | GPR | 3.09 | 4.04 | 6.05 | 36.58 | 6.05 | 0.94 | 0.88 | EBT | 3.00 | 3.94 | 5.89 | 34.64 | 5.89 | 0.94 | 0.89 |
| 8 | 10 | 40 | FT | 3.38 | 4.45 | 6.86 | 47.00 | 6.86 | 0.94 | 0.87 | GPR | 2.93 | 3.84 | 5.80 | 33.67 | 5.80 | 0.94 | 0.89 | EBT | 2.85 | 3.75 | 5.68 | 32.30 | 5.68 | 0.95 | 0.90 |
| 9 | 11 | 45 | FT | 3.38 | 4.45 | 6.86 | 47.00 | 6.86 | 0.94 | 0.87 | GPR | 2.90 | 3.80 | 5.78 | 33.39 | 5.78 | 0.95 | 0.89 | EBT | 2.83 | 3.72 | 5.63 | 31.65 | 5.63 | 0.95 | 0.90 |
| 10 | 13 | 50 | FT | 2.98 | 3.95 | 6.21 | 38.55 | 6.21 | 0.96 | 0.92 | GPR | 2.53 | 3.33 | 5.03 | 25.25 | 5.02 | 0.96 | 0.93 | EBT | 2.53 | 3.34 | 5.08 | 25.83 | 5.08 | 0.96 | 0.93 |
| 11 | 25 | 100 | FT | 2.82 | 3.72 | 5.92 | 35.01 | 5.92 | 0.96 | 0.92 | GPR | 2.42 | 3.18 | 4.89 | 23.91 | 4.89 | 0.97 | 0.94 | EBT | 2.34 | 3.09 | 4.86 | 23.62 | 4.86 | 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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