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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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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. |
format | Online Article Text |
id | pubmed-6565722 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
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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