Research Article
A Novel Neural Network Model for Blood Pressure Estimation Using Photoplethesmography without Electrocardiogram
Table 2
Performance results of different number of the input parameters.
| Number of the input parameters | SBP | DBP | e (mmHg) | er (%) | e (mmHg) | er (%) |
| 3 parameters (10 Hz interval) | 8.29 ± 6.60 | 6.00 ± 5.28 | 6.19 ± 6.63 | 9.14 ± 7.45 | 4 parameters (5 Hz interval) | 7.62 ± 6.08 | 5.49 ± 4.77 | 4.31 ± 3.83 | 3.84 ± 3.39 | 7 parameters (2 Hz interval) | 6.59 ± 5.25 | 4.72 ± 4.02 | 4.34 ± 5.23 | 4.72 ± 3.91 | 12 parameters (1 Hz interval) | 4.64 ± 3.63 | 3.42 ± 2.61 | 3.69 ± 2.74 | 3.12 ± 4.11 | 22 parameters (0.5 Hz interval) | 4.02 ± 2.79 | 2.84 ± 2.00 | 2.27 ± 1.82 | 4.39 ± 3.60 |
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