Research Article
Machine Learning and Electrocardiography Signal-Based Minimum Calculation Time Detection for Blood Pressure Detection
Table 21
DBP prediction models for 16-second epoching.
| Info | Performance evaluation criteria | L | FN | FP | Model | MAPE | MAD | SE | MSE | RMSE | | |
| 1 | 1 | 5 | FT | 3.71 | 2.81 | 4.17 | 17.33 | 4.16 | 0.94 | 0.88 | GPR | 3.33 | 2.50 | 3.72 | 13.84 | 3.72 | 0.94 | 0.89 | EBT | 3.46 | 2.61 | 3.88 | 15.02 | 3.88 | 0.94 | 0.88 |
| 2 | 3 | 10 | FT | 3.62 | 2.76 | 4.04 | 16.32 | 4.04 | 0.95 | 0.89 | GPR | 3.87 | 2.96 | 19.45 | 377.68 | 19.43 | 0.94 | 0.89 | EBT | 3.34 | 2.48 | 3.86 | 14.86 | 3.85 | 0.95 | 0.90 |
| 3 | 4 | 15 | FT | 3.62 | 2.76 | 4.04 | 16.32 | 4.04 | 0.95 | 0.89 | GPR | 5.93 | 4.62 | 76.65 | 5865.87 | 76.59 | 0.94 | 0.89 | EBT | 3.34 | 2.50 | 3.79 | 14.34 | 3.79 | 0.95 | 0.90 |
| 4 | 5 | 20 | FT | 3.62 | 2.76 | 4.04 | 16.32 | 4.04 | 0.95 | 0.89 | GPR | 7.76 | 6.09 | 127.74 | 16289.21 | 127.63 | 0.94 | 0.89 | EBT | 3.35 | 2.50 | 3.87 | 14.93 | 3.86 | 0.95 | 0.90 |
| 5 | 6 | 25 | FT | 3.31 | 2.52 | 4.03 | 16.23 | 4.03 | 0.95 | 0.91 | GPR | 6.20 | 4.84 | 84.13 | 7066.21 | 84.06 | 0.94 | 0.89 | EBT | 3.19 | 2.36 | 3.76 | 14.09 | 3.75 | 0.96 | 0.91 |
| 6 | 8 | 30 | FT | 3.46 | 2.62 | 4.13 | 17.06 | 4.13 | 0.95 | 0.90 | GPR | 21.04 | 16.78 | 499.07 | 248655.06 | 498.65 | 0.95 | 0.90 | EBT | 3.04 | 2.26 | 3.59 | 12.87 | 3.59 | 0.96 | 0.92 |
| 7 | 9 | 35 | FT | 3.45 | 2.62 | 4.13 | 17.03 | 4.13 | 0.95 | 0.90 | GPR | 20.87 | 16.64 | 493.67 | 243303.01 | 493.26 | 0.95 | 0.90 | EBT | 3.08 | 2.29 | 3.69 | 13.56 | 3.68 | 0.96 | 0.92 |
| 8 | 10 | 40 | FT | 3.37 | 2.55 | 4.07 | 16.55 | 4.07 | 0.95 | 0.90 | GPR | 5.70 | 4.41 | 67.87 | 4599.29 | 67.82 | 0.95 | 0.89 | EBT | 3.06 | 2.28 | 3.66 | 13.41 | 3.66 | 0.96 | 0.92 |
| 9 | 11 | 45 | FT | 3.37 | 2.55 | 4.07 | 16.55 | 4.07 | 0.95 | 0.90 | GPR | 4.36 | 3.24 | 4.94 | 24.34 | 4.93 | 0.88 | 0.78 | EBT | 3.10 | 2.30 | 3.72 | 13.80 | 3.72 | 0.96 | 0.92 |
| 10 | 13 | 50 | FT | 3.06 | 2.32 | 3.74 | 13.95 | 3.73 | 0.96 | 0.92 | GPR | 3.01 | 2.26 | 3.59 | 12.89 | 3.59 | 0.96 | 0.92 | EBT | 2.85 | 2.11 | 3.51 | 12.30 | 3.51 | 0.97 | 0.93 |
| 11 | 25 | 100 | FT | 2.61 | 1.99 | 3.71 | 13.73 | 3.71 | 0.97 | 0.95 | GPR | 2.44 | 1.83 | 3.11 | 9.64 | 3.10 | 0.98 | 0.95 | EBT | 2.44 | 1.81 | 3.23 | 10.42 | 3.23 | 0.98 | 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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