Research Article
Machine Learning and Electrocardiography Signal-Based Minimum Calculation Time Detection for Blood Pressure Detection
Table 13
SBP prediction models for 20-second epoching.
| Info | Performance evaluation criteria | L | FN | FP | Model | MAPE | MAD | SE | MSE | RMSE | | |
| 1 | 1 | 5 | FT | 5.03 | 6.59 | 9.31 | 86.53 | 9.30 | 0.76 | 0.58 | GPR | 4.71 | 6.14 | 8.31 | 68.84 | 8.30 | 0.80 | 0.64 | EBT | 4.76 | 6.22 | 8.61 | 73.99 | 8.60 | 0.78 | 0.60 |
| 2 | 3 | 10 | FT | 4.20 | 5.54 | 8.22 | 67.46 | 8.21 | 0.86 | 0.73 | GPR | 3.95 | 5.19 | 7.36 | 54.01 | 7.35 | 0.87 | 0.75 | EBT | 3.72 | 4.87 | 7.22 | 52.08 | 7.22 | 0.88 | 0.78 |
| 3 | 4 | 15 | FT | 4.20 | 5.55 | 8.22 | 67.49 | 8.22 | 0.86 | 0.73 | GPR | 3.97 | 5.21 | 7.37 | 54.21 | 7.36 | 0.87 | 0.75 | EBT | 3.73 | 4.90 | 7.25 | 52.45 | 7.24 | 0.88 | 0.77 |
| 4 | 5 | 20 | FT | 4.20 | 5.55 | 8.22 | 67.49 | 8.22 | 0.86 | 0.73 | GPR | 3.98 | 5.22 | 7.39 | 54.54 | 7.38 | 0.87 | 0.75 | EBT | 3.74 | 4.90 | 7.29 | 53.09 | 7.29 | 0.88 | 0.78 |
| 5 | 6 | 25 | FT | 3.83 | 5.04 | 7.54 | 56.69 | 7.53 | 0.88 | 0.78 | GPR | 3.82 | 5.02 | 7.25 | 52.40 | 7.24 | 0.88 | 0.77 | EBT | 3.39 | 4.43 | 6.73 | 45.15 | 6.72 | 0.91 | 0.82 |
| 6 | 8 | 30 | FT | 3.73 | 4.90 | 7.66 | 58.48 | 7.65 | 0.88 | 0.78 | GPR | 3.65 | 4.81 | 6.92 | 47.83 | 6.92 | 0.89 | 0.79 | EBT | 3.28 | 4.29 | 6.55 | 42.87 | 6.55 | 0.91 | 0.83 |
| 7 | 9 | 35 | FT | 3.73 | 4.90 | 7.66 | 58.48 | 7.65 | 0.88 | 0.78 | GPR | 3.66 | 4.82 | 6.91 | 47.72 | 6.91 | 0.89 | 0.79 | EBT | 3.36 | 4.39 | 6.72 | 45.04 | 6.71 | 0.91 | 0.82 |
| 8 | 10 | 40 | FT | 3.72 | 4.90 | 7.67 | 58.74 | 7.66 | 0.88 | 0.78 | GPR | 3.65 | 4.80 | 6.90 | 47.51 | 6.89 | 0.89 | 0.79 | EBT | 3.29 | 4.31 | 6.52 | 42.39 | 6.51 | 0.91 | 0.83 |
| 9 | 11 | 45 | FT | 3.72 | 4.90 | 7.67 | 58.75 | 7.66 | 0.88 | 0.78 | GPR | 3.65 | 4.80 | 6.90 | 47.54 | 6.90 | 0.89 | 0.79 | EBT | 3.32 | 4.35 | 6.62 | 43.70 | 6.61 | 0.91 | 0.83 |
| 10 | 13 | 50 | FT | 2.39 | 3.23 | 5.11 | 26.08 | 5.11 | 0.96 | 0.93 | GPR | 2.44 | 3.26 | 4.80 | 23.00 | 4.80 | 0.96 | 0.92 | EBT | 2.28 | 3.02 | 4.70 | 22.05 | 4.70 | 0.97 | 0.93 |
| 11 | 25 | 100 | FT | 2.17 | 2.89 | 5.15 | 26.43 | 5.14 | 0.97 | 0.94 | GPR | 1.96 | 2.62 | 4.13 | 16.98 | 4.12 | 0.98 | 0.96 | EBT | 1.96 | 2.60 | 4.29 | 18.41 | 4.29 | 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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