Key result
A calibration-free blood pressure estimation method using photoplethysmography and biometrics demonstrated varying accuracy across age and blood pressure groups, which was significantly improved with personalized calibration.
Why the study?
Can an algorithm combining photoplethysmography (PPG) waveform analysis and biometrics accurately estimate blood pressure without calibration?
Cross-Sectional (n=1,249)
Yes
Can an algorithm combining photoplethysmography (PPG) waveform analysis and biometrics accurately estimate blood pressure without calibration?
A novel PPG and biometrics-based algorithm can estimate blood pressure without calibration in certain populations, with accuracy improving significantly upon personalized calibration.
Answers are grounded in this paper and cite their sources.
Accuracy of calibration-free PPG BP estimation varies by age and SBP; hypothesis-generating and requires prospective validation before practice change.
We introduce a novel paradigm to unobtrusively and optically measure blood pressure (BP) without calibration. The algorithm combines photoplethysmography (PPG) waveform analysis and biometrics to estimate BP, and was evaluated in subjects with various age, height, weight and BP levels (n = 1249). In the young population (<50 years old) with low, medium and high systolic blood pressures (SBP, <120 mmHg; 120-139 mmHg; ≥140 mmHg), the fitting errors are 6.3 ± 7.2, -3.9 ± 7.2 and -20.2 ± 14.2 mmHg for SBP respectively; In the older population (>50 years old) with the same categories, the fitting errors are 12.8 ± 9.0, 0.5 ± 8.2 and -14.6 ± 11.5 mmHg for SBP respectively. A simple personalized calibration reduces fitting errors significantly (n = 147), and good peripheral perfusion helps to improve the fitting accuracy. In conclusion, PPG may be used to calculate BP without calibration in certain populations. When calibrated, it shows great potential to serially monitor BP fluctuation, which can bring tremendous economic and health benefits.
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Xing et al. (2019) conducted a cross-sectional in Blood pressure estimation (normotensive and hypertensive) (n=1,249). Photoplethysmography (PPG) and biometrics-based blood pressure estimation vs. Reference cuff-based sphygmomanometer was evaluated on Fitting errors for systolic and diastolic blood pressure compared to reference measurements. A calibration-free blood pressure estimation method using photoplethysmography and biometrics demonstrated varying accuracy across age and blood pressure groups, which was significantly improved with personalized calibration.
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