Research Article
Machine Learning and Electrocardiography Signal-Based Minimum Calculation Time Detection for Blood Pressure Detection
Table 7
SBP prediction models for 8-second epoching.
| Info | Performance evaluation criteria | L | FN | FP | Model | MAPE | MAD | SE | MSE | RMSE | | |
| 1 | 1 | 5 | FT | 5.88 | 7.69 | 10.61 | 112.46 | 10.60 | 0.68 | 0.46 | GPR | 5.31 | 6.92 | 9.08 | 82.35 | 9.07 | 0.73 | 0.54 | EBT | 5.53 | 7.20 | 9.67 | 93.48 | 9.67 | 0.71 | 0.50 |
| 2 | 3 | 10 | FT | 4.49 | 5.91 | 8.75 | 76.48 | 8.75 | 0.84 | 0.71 | GPR | 5.20 | 6.76 | 8.93 | 79.66 | 8.93 | 0.77 | 0.59 | EBT | 4.49 | 5.85 | 8.09 | 65.43 | 8.09 | 0.84 | 0.70 |
| 3 | 4 | 15 | FT | 4.49 | 5.91 | 8.75 | 76.54 | 8.75 | 0.84 | 0.71 | GPR | 5.20 | 6.77 | 8.94 | 79.82 | 8.93 | 0.76 | 0.58 | EBT | 4.45 | 5.80 | 8.05 | 64.72 | 8.05 | 0.84 | 0.71 |
| 4 | 5 | 20 | FT | 4.49 | 5.91 | 8.75 | 76.54 | 8.75 | 0.84 | 0.71 | GPR | 5.20 | 6.77 | 8.95 | 80.04 | 8.95 | 0.76 | 0.58 | EBT | 4.52 | 5.89 | 8.19 | 67.03 | 8.19 | 0.83 | 0.69 |
| 5 | 6 | 25 | FT | 4.50 | 5.90 | 8.91 | 79.40 | 8.91 | 0.84 | 0.70 | GPR | 5.20 | 6.77 | 8.95 | 80.02 | 8.95 | 0.76 | 0.58 | EBT | 4.14 | 5.39 | 7.63 | 58.12 | 7.62 | 0.86 | 0.74 |
| 6 | 8 | 30 | FT | 4.66 | 6.09 | 9.23 | 85.13 | 9.23 | 0.82 | 0.67 | GPR | 4.72 | 6.15 | 8.44 | 71.21 | 8.44 | 0.81 | 0.65 | EBT | 3.98 | 5.20 | 7.49 | 56.01 | 7.48 | 0.87 | 0.76 |
| 7 | 9 | 35 | FT | 4.66 | 6.09 | 9.23 | 85.13 | 9.23 | 0.82 | 0.67 | GPR | 4.67 | 6.08 | 8.36 | 69.77 | 8.35 | 0.81 | 0.66 | EBT | 3.97 | 5.19 | 7.50 | 56.13 | 7.49 | 0.87 | 0.75 |
| 8 | 10 | 40 | FT | 4.70 | 6.15 | 9.26 | 85.72 | 9.26 | 0.82 | 0.67 | GPR | 4.61 | 6.01 | 8.29 | 68.67 | 8.29 | 0.82 | 0.67 | EBT | 3.97 | 5.19 | 7.48 | 55.87 | 7.47 | 0.87 | 0.76 |
| 9 | 11 | 45 | FT | 4.68 | 6.13 | 9.19 | 84.31 | 9.18 | 0.82 | 0.68 | GPR | 4.60 | 6.00 | 8.28 | 68.47 | 8.27 | 0.82 | 0.67 | EBT | 3.98 | 5.20 | 7.51 | 56.32 | 7.50 | 0.87 | 0.75 |
| 10 | 13 | 50 | FT | 4.48 | 5.87 | 8.97 | 80.37 | 8.96 | 0.85 | 0.72 | GPR | 4.41 | 5.74 | 8.01 | 64.18 | 8.01 | 0.84 | 0.70 | EBT | 3.83 | 5.01 | 7.24 | 52.37 | 7.24 | 0.88 | 0.78 |
| 11 | 25 | 100 | FT | 2.54 | 3.37 | 5.71 | 32.62 | 5.71 | 0.96 | 0.93 | GPR | 2.20 | 2.91 | 4.50 | 20.28 | 4.50 | 0.97 | 0.95 | EBT | 2.13 | 2.81 | 4.56 | 20.74 | 4.55 | 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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