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An Unobtrusive and Calibration-free Blood Pressure Estimation Method using Photoplethysmography and Biometrics

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...

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Autores principales: Xing, Xiaoman, Ma, Zhimin, Zhang, Mingyou, Zhou, Ying, Dong, Wenfei, Song, Mingxuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6565722/
https://www.ncbi.nlm.nih.gov/pubmed/31197243
http://dx.doi.org/10.1038/s41598-019-45175-2
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author Xing, Xiaoman
Ma, Zhimin
Zhang, Mingyou
Zhou, Ying
Dong, Wenfei
Song, Mingxuan
author_facet Xing, Xiaoman
Ma, Zhimin
Zhang, Mingyou
Zhou, Ying
Dong, Wenfei
Song, Mingxuan
author_sort Xing, Xiaoman
collection PubMed
description 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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spelling pubmed-65657222019-06-20 An Unobtrusive and Calibration-free Blood Pressure Estimation Method using Photoplethysmography and Biometrics Xing, Xiaoman Ma, Zhimin Zhang, Mingyou Zhou, Ying Dong, Wenfei Song, Mingxuan Sci Rep Article 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. Nature Publishing Group UK 2019-06-13 /pmc/articles/PMC6565722/ /pubmed/31197243 http://dx.doi.org/10.1038/s41598-019-45175-2 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Xing, Xiaoman
Ma, Zhimin
Zhang, Mingyou
Zhou, Ying
Dong, Wenfei
Song, Mingxuan
An Unobtrusive and Calibration-free Blood Pressure Estimation Method using Photoplethysmography and Biometrics
title An Unobtrusive and Calibration-free Blood Pressure Estimation Method using Photoplethysmography and Biometrics
title_full An Unobtrusive and Calibration-free Blood Pressure Estimation Method using Photoplethysmography and Biometrics
title_fullStr An Unobtrusive and Calibration-free Blood Pressure Estimation Method using Photoplethysmography and Biometrics
title_full_unstemmed An Unobtrusive and Calibration-free Blood Pressure Estimation Method using Photoplethysmography and Biometrics
title_short An Unobtrusive and Calibration-free Blood Pressure Estimation Method using Photoplethysmography and Biometrics
title_sort unobtrusive and calibration-free blood pressure estimation method using photoplethysmography and biometrics
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6565722/
https://www.ncbi.nlm.nih.gov/pubmed/31197243
http://dx.doi.org/10.1038/s41598-019-45175-2
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