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Novel blood pressure and pulse pressure estimation based on pulse transit time and stroke volume approximation

BACKGROUND: Non-invasive continuous blood pressure monitors are of great interest to the medical community due to their value in hypertension management. Recently, studies have shown the potential of pulse pressure as a therapeutic target for hypertension, but not enough attention has been given to...

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Autores principales: Lee, Joonnyong, Sohn, JangJay, Park, Jonghyun, Yang, SeungMan, Lee, Saram, Kim, Hee Chan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6006984/
https://www.ncbi.nlm.nih.gov/pubmed/29914491
http://dx.doi.org/10.1186/s12938-018-0510-8
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author Lee, Joonnyong
Sohn, JangJay
Park, Jonghyun
Yang, SeungMan
Lee, Saram
Kim, Hee Chan
author_facet Lee, Joonnyong
Sohn, JangJay
Park, Jonghyun
Yang, SeungMan
Lee, Saram
Kim, Hee Chan
author_sort Lee, Joonnyong
collection PubMed
description BACKGROUND: Non-invasive continuous blood pressure monitors are of great interest to the medical community due to their value in hypertension management. Recently, studies have shown the potential of pulse pressure as a therapeutic target for hypertension, but not enough attention has been given to non-invasive continuous monitoring of pulse pressure. Although accurate pulse pressure estimation can be of direct value to hypertension management and indirectly to the estimation of systolic blood pressure, as it is the sum of pulse pressure and diastolic blood pressure, only a few inadequate methods of pulse pressure estimation have been proposed. METHODS: We present a novel, non-invasive blood pressure and pulse pressure estimation method based on pulse transit time and pre-ejection period. Pre-ejection period and pulse transit time were measured non-invasively using electrocardiogram, seismocardiogram, and photoplethysmogram measured from the torso. The proposed method used the 2-element Windkessel model to model pulse pressure with the ratio of stroke volume, approximated by pre-ejection period, and arterial compliance, estimated by pulse transit time. Diastolic blood pressure was estimated using pulse transit time, and systolic blood pressure was estimated as the sum of the two estimates. The estimation method was verified in 11 subjects in two separate conditions with induced cardiovascular response and the results were compared against a reference measurement and values obtained from a previously proposed method. RESULTS: The proposed method yielded high agreement with the reference (pulse pressure correlation with reference R ≥ 0.927, diastolic blood pressure correlation with reference R ≥ 0.854, systolic blood pressure correlation with reference R ≥ 0.914) and high estimation accuracy in pulse pressure (mean root-mean-squared error ≤ 3.46 mmHg) and blood pressure (mean root-mean-squared error ≤ 6.31 mmHg for diastolic blood pressure and ≤ 8.41 mmHg for systolic blood pressure) over a wide range of hemodynamic changes. CONCLUSION: The proposed pulse pressure estimation method provides accurate estimates in situations with and without significant changes in stroke volume. The proposed method improves upon the currently available systolic blood pressure estimation methods by providing accurate pulse pressure estimates.
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spelling pubmed-60069842018-06-26 Novel blood pressure and pulse pressure estimation based on pulse transit time and stroke volume approximation Lee, Joonnyong Sohn, JangJay Park, Jonghyun Yang, SeungMan Lee, Saram Kim, Hee Chan Biomed Eng Online Research BACKGROUND: Non-invasive continuous blood pressure monitors are of great interest to the medical community due to their value in hypertension management. Recently, studies have shown the potential of pulse pressure as a therapeutic target for hypertension, but not enough attention has been given to non-invasive continuous monitoring of pulse pressure. Although accurate pulse pressure estimation can be of direct value to hypertension management and indirectly to the estimation of systolic blood pressure, as it is the sum of pulse pressure and diastolic blood pressure, only a few inadequate methods of pulse pressure estimation have been proposed. METHODS: We present a novel, non-invasive blood pressure and pulse pressure estimation method based on pulse transit time and pre-ejection period. Pre-ejection period and pulse transit time were measured non-invasively using electrocardiogram, seismocardiogram, and photoplethysmogram measured from the torso. The proposed method used the 2-element Windkessel model to model pulse pressure with the ratio of stroke volume, approximated by pre-ejection period, and arterial compliance, estimated by pulse transit time. Diastolic blood pressure was estimated using pulse transit time, and systolic blood pressure was estimated as the sum of the two estimates. The estimation method was verified in 11 subjects in two separate conditions with induced cardiovascular response and the results were compared against a reference measurement and values obtained from a previously proposed method. RESULTS: The proposed method yielded high agreement with the reference (pulse pressure correlation with reference R ≥ 0.927, diastolic blood pressure correlation with reference R ≥ 0.854, systolic blood pressure correlation with reference R ≥ 0.914) and high estimation accuracy in pulse pressure (mean root-mean-squared error ≤ 3.46 mmHg) and blood pressure (mean root-mean-squared error ≤ 6.31 mmHg for diastolic blood pressure and ≤ 8.41 mmHg for systolic blood pressure) over a wide range of hemodynamic changes. CONCLUSION: The proposed pulse pressure estimation method provides accurate estimates in situations with and without significant changes in stroke volume. The proposed method improves upon the currently available systolic blood pressure estimation methods by providing accurate pulse pressure estimates. BioMed Central 2018-06-18 /pmc/articles/PMC6006984/ /pubmed/29914491 http://dx.doi.org/10.1186/s12938-018-0510-8 Text en © The Author(s) 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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 Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Lee, Joonnyong
Sohn, JangJay
Park, Jonghyun
Yang, SeungMan
Lee, Saram
Kim, Hee Chan
Novel blood pressure and pulse pressure estimation based on pulse transit time and stroke volume approximation
title Novel blood pressure and pulse pressure estimation based on pulse transit time and stroke volume approximation
title_full Novel blood pressure and pulse pressure estimation based on pulse transit time and stroke volume approximation
title_fullStr Novel blood pressure and pulse pressure estimation based on pulse transit time and stroke volume approximation
title_full_unstemmed Novel blood pressure and pulse pressure estimation based on pulse transit time and stroke volume approximation
title_short Novel blood pressure and pulse pressure estimation based on pulse transit time and stroke volume approximation
title_sort novel blood pressure and pulse pressure estimation based on pulse transit time and stroke volume approximation
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6006984/
https://www.ncbi.nlm.nih.gov/pubmed/29914491
http://dx.doi.org/10.1186/s12938-018-0510-8
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