Research Article
Machine Learning and Electrocardiography Signal-Based Minimum Calculation Time Detection for Blood Pressure Detection
Table 16
DBP prediction models for 6-second epoching.
| Info | Performance evaluation criteria | L | FN | FP | Model | MAPE | MAD | SE | MSE | RMSE | | |
| 1 | 1 | 5 | FT | 7.74 | 5.50 | 7.71 | 59.44 | 7.71 | 0.65 | 0.42 | GPR | 6.80 | 4.79 | 6.64 | 44.00 | 6.63 | 0.71 | 0.50 | EBT | 7.18 | 5.07 | 7.06 | 49.84 | 7.06 | 0.67 | 0.45 |
| 2 | 3 | 10 | FT | 6.40 | 4.52 | 6.87 | 47.23 | 6.87 | 0.79 | 0.62 | GPR | 6.94 | 4.89 | 6.67 | 44.52 | 6.67 | 0.70 | 0.49 | EBT | 5.77 | 4.01 | 5.89 | 34.73 | 5.89 | 0.83 | 0.68 |
| 3 | 4 | 15 | FT | 6.40 | 4.51 | 6.87 | 47.11 | 6.86 | 0.79 | 0.62 | GPR | 6.92 | 4.87 | 6.67 | 44.41 | 6.66 | 0.70 | 0.49 | EBT | 5.71 | 3.99 | 5.90 | 34.74 | 5.89 | 0.83 | 0.68 |
| 4 | 5 | 20 | FT | 6.40 | 4.51 | 6.87 | 47.11 | 6.86 | 0.79 | 0.62 | GPR | 6.89 | 4.85 | 6.66 | 44.34 | 6.66 | 0.71 | 0.51 | EBT | 5.73 | 3.99 | 5.91 | 34.85 | 5.90 | 0.82 | 0.68 |
| 5 | 6 | 25 | FT | 6.41 | 4.57 | 7.07 | 49.97 | 7.07 | 0.79 | 0.62 | GPR | 6.24 | 4.37 | 6.28 | 39.43 | 6.28 | 0.78 | 0.61 | EBT | 5.57 | 3.90 | 5.85 | 34.23 | 5.85 | 0.83 | 0.70 |
| 6 | 8 | 30 | FT | 6.38 | 4.57 | 7.02 | 49.27 | 7.02 | 0.79 | 0.62 | GPR | 6.15 | 4.31 | 6.23 | 38.81 | 6.23 | 0.78 | 0.61 | EBT | 5.54 | 3.88 | 5.82 | 33.85 | 5.82 | 0.84 | 0.70 |
| 7 | 9 | 35 | FT | 6.39 | 4.53 | 6.99 | 48.88 | 6.99 | 0.80 | 0.63 | GPR | 6.16 | 4.31 | 6.22 | 38.65 | 6.22 | 0.78 | 0.61 | EBT | 5.53 | 3.88 | 5.82 | 33.88 | 5.82 | 0.84 | 0.70 |
| 8 | 10 | 40 | FT | 6.40 | 4.55 | 7.00 | 48.94 | 7.00 | 0.79 | 0.62 | GPR | 6.14 | 4.30 | 6.22 | 38.65 | 6.22 | 0.78 | 0.61 | EBT | 5.56 | 3.89 | 5.85 | 34.24 | 5.85 | 0.83 | 0.69 |
| 9 | 11 | 45 | FT | 5.87 | 4.14 | 6.61 | 43.68 | 6.61 | 0.83 | 0.70 | GPR | 5.94 | 4.14 | 6.02 | 36.22 | 6.02 | 0.81 | 0.65 | EBT | 5.27 | 3.67 | 5.61 | 31.45 | 5.61 | 0.86 | 0.73 |
| 10 | 13 | 50 | FT | 3.96 | 2.75 | 4.70 | 22.04 | 4.69 | 0.95 | 0.91 | GPR | 3.60 | 2.46 | 4.11 | 16.85 | 4.10 | 0.96 | 0.92 | EBT | 3.46 | 2.38 | 4.04 | 16.35 | 4.04 | 0.96 | 0.92 |
| 11 | 25 | 100 | FT | 3.53 | 2.52 | 4.43 | 19.62 | 4.43 | 0.96 | 0.92 | GPR | 3.32 | 2.27 | 3.87 | 15.00 | 3.87 | 0.97 | 0.94 | EBT | 3.14 | 2.15 | 3.79 | 14.34 | 3.79 | 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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