Research Article
Machine Learning and Electrocardiography Signal-Based Minimum Calculation Time Detection for Blood Pressure Detection
Table 14
DBP prediction models for 2-second epoching.
| Info | Performance evaluation criteria | L | FN | FP | Model | MAPE | MAD | SE | MSE | RMSE | | |
| 1 | 1 | 5 | FT | 8.43 | 6.18 | 8.32 | 69.21 | 8.32 | 0.62 | 0.39 | GPR | 7.31 | 5.32 | 7.10 | 50.40 | 7.10 | 0.66 | 0.44 | EBT | 7.69 | 5.62 | 7.52 | 56.61 | 7.52 | 0.64 | 0.41 |
| 2 | 3 | 10 | FT | 6.47 | 4.80 | 7.25 | 52.54 | 7.25 | 0.79 | 0.62 | GPR | 6.99 | 5.10 | 6.88 | 47.33 | 6.88 | 0.73 | 0.53 | EBT | 5.53 | 4.06 | 6.03 | 36.37 | 6.03 | 0.83 | 0.69 |
| 3 | 4 | 15 | FT | 6.16 | 4.56 | 7.00 | 48.97 | 7.00 | 0.81 | 0.66 | GPR | 5.98 | 4.38 | 6.21 | 38.52 | 6.21 | 0.82 | 0.67 | EBT | 5.22 | 3.85 | 5.77 | 33.30 | 5.77 | 0.85 | 0.73 |
| 4 | 5 | 20 | FT | 6.16 | 4.56 | 7.00 | 48.97 | 7.00 | 0.81 | 0.66 | GPR | 5.96 | 4.36 | 6.19 | 38.34 | 6.19 | 0.82 | 0.67 | EBT | 5.25 | 3.86 | 5.80 | 33.59 | 5.80 | 0.85 | 0.73 |
| 5 | 6 | 25 | FT | 6.17 | 4.56 | 7.02 | 49.30 | 7.02 | 0.81 | 0.66 | GPR | 5.89 | 4.31 | 6.16 | 37.93 | 6.16 | 0.82 | 0.68 | EBT | 5.25 | 3.86 | 5.78 | 33.40 | 5.78 | 0.85 | 0.73 |
| 6 | 8 | 30 | FT | 6.19 | 4.57 | 7.04 | 49.48 | 7.03 | 0.81 | 0.66 | GPR | 5.99 | 4.39 | 6.21 | 38.56 | 6.21 | 0.81 | 0.66 | EBT | 5.26 | 3.86 | 5.81 | 33.69 | 5.80 | 0.85 | 0.73 |
| 7 | 9 | 35 | FT | 5.65 | 4.17 | 6.55 | 42.94 | 6.55 | 0.85 | 0.72 | GPR | 5.58 | 4.09 | 5.95 | 35.36 | 5.95 | 0.84 | 0.70 | EBT | 5.01 | 3.68 | 5.57 | 31.07 | 5.57 | 0.87 | 0.76 |
| 8 | 10 | 40 | FT | 5.26 | 3.90 | 6.20 | 38.44 | 6.20 | 0.87 | 0.76 | GPR | 5.07 | 3.73 | 5.49 | 30.13 | 5.49 | 0.88 | 0.77 | EBT | 4.58 | 3.38 | 5.20 | 27.08 | 5.20 | 0.90 | 0.81 |
| 9 | 11 | 45 | FT | 5.26 | 3.89 | 6.20 | 38.39 | 6.20 | 0.87 | 0.76 | GPR | 4.93 | 3.63 | 5.39 | 29.02 | 5.39 | 0.88 | 0.78 | EBT | 4.60 | 3.39 | 5.20 | 27.03 | 5.20 | 0.90 | 0.81 |
| 10 | 13 | 50 | FT | 4.15 | 3.11 | 5.20 | 27.06 | 5.20 | 0.95 | 0.90 | GPR | 3.65 | 2.68 | 4.31 | 18.57 | 4.31 | 0.96 | 0.92 | EBT | 3.50 | 2.58 | 4.26 | 18.16 | 4.26 | 0.96 | 0.92 |
| 11 | 25 | 100 | FT | 4.06 | 3.03 | 5.23 | 27.33 | 5.23 | 0.95 | 0.91 | GPR | 3.56 | 2.61 | 4.21 | 17.70 | 4.21 | 0.96 | 0.92 | EBT | 3.31 | 2.43 | 4.06 | 16.52 | 4.06 | 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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