Research Article
Machine Learning and Electrocardiography Signal-Based Minimum Calculation Time Detection for Blood Pressure Detection
Table 17
DBP prediction models for 8-second epoching.
| Info | Performance evaluation criteria | L | FN | FP | Model | MAPE | MAD | SE | MSE | RMSE | | |
| 1 | 1 | 5 | FT | 7.05 | 5.13 | 7.26 | 52.72 | 7.26 | 0.67 | 0.45 | GPR | 6.41 | 4.59 | 6.25 | 39.05 | 6.25 | 0.73 | 0.53 | EBT | 6.73 | 4.76 | 6.68 | 44.60 | 6.68 | 0.71 | 0.50 |
| 2 | 3 | 10 | FT | 5.55 | 3.89 | 6.03 | 36.30 | 6.03 | 0.85 | 0.73 | GPR | 6.43 | 4.44 | 6.24 | 38.86 | 6.23 | 0.77 | 0.59 | EBT | 5.60 | 3.85 | 5.70 | 32.41 | 5.69 | 0.84 | 0.71 |
| 3 | 4 | 15 | FT | 5.55 | 3.89 | 6.03 | 36.33 | 6.03 | 0.85 | 0.73 | GPR | 6.43 | 4.44 | 6.25 | 39.00 | 6.25 | 0.77 | 0.59 | EBT | 5.57 | 3.84 | 5.71 | 32.56 | 5.71 | 0.84 | 0.70 |
| 4 | 5 | 20 | FT | 5.55 | 3.89 | 6.03 | 36.33 | 6.03 | 0.85 | 0.73 | GPR | 6.47 | 4.47 | 6.26 | 39.10 | 6.25 | 0.76 | 0.58 | EBT | 5.68 | 3.92 | 5.80 | 33.57 | 5.79 | 0.83 | 0.69 |
| 5 | 6 | 25 | FT | 5.80 | 4.02 | 6.28 | 39.35 | 6.27 | 0.83 | 0.69 | GPR | 6.45 | 4.45 | 6.26 | 39.15 | 6.26 | 0.77 | 0.59 | EBT | 5.27 | 3.61 | 5.46 | 29.75 | 5.45 | 0.86 | 0.74 |
| 6 | 8 | 30 | FT | 5.95 | 4.09 | 6.39 | 40.82 | 6.39 | 0.83 | 0.68 | GPR | 5.89 | 4.04 | 5.92 | 35.04 | 5.92 | 0.81 | 0.66 | EBT | 5.10 | 3.47 | 5.33 | 28.33 | 5.32 | 0.87 | 0.76 |
| 7 | 9 | 35 | FT | 5.95 | 4.09 | 6.39 | 40.82 | 6.39 | 0.83 | 0.68 | GPR | 5.83 | 4.00 | 5.87 | 34.40 | 5.87 | 0.82 | 0.67 | EBT | 5.13 | 3.49 | 5.36 | 28.73 | 5.36 | 0.87 | 0.76 |
| 8 | 10 | 40 | FT | 5.96 | 4.10 | 6.46 | 41.71 | 6.46 | 0.83 | 0.68 | GPR | 5.76 | 3.96 | 5.83 | 33.97 | 5.83 | 0.82 | 0.67 | EBT | 5.10 | 3.45 | 5.36 | 28.68 | 5.36 | 0.87 | 0.76 |
| 9 | 11 | 45 | FT | 5.98 | 4.11 | 6.49 | 42.11 | 6.49 | 0.82 | 0.68 | GPR | 5.78 | 3.97 | 5.84 | 34.03 | 5.83 | 0.82 | 0.68 | EBT | 5.14 | 3.49 | 5.38 | 28.88 | 5.37 | 0.87 | 0.76 |
| 10 | 13 | 50 | FT | 5.50 | 3.87 | 6.15 | 37.73 | 6.14 | 0.85 | 0.72 | GPR | 5.60 | 3.82 | 5.67 | 32.07 | 5.66 | 0.84 | 0.70 | EBT | 4.93 | 3.36 | 5.23 | 27.32 | 5.23 | 0.88 | 0.78 |
| 11 | 25 | 100 | FT | 3.31 | 2.35 | 4.23 | 17.90 | 4.23 | 0.96 | 0.93 | GPR | 3.23 | 2.11 | 3.59 | 12.86 | 3.59 | 0.97 | 0.94 | EBT | 3.11 | 2.04 | 3.63 | 13.19 | 3.63 | 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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