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Wave reflection quantification analysis and personalized flow wave estimation based on the central aortic pressure waveform
Pulse wave reflections reflect cardiac afterload and perfusion, which yield valid indicators for monitoring cardiovascular status. Accurate quantification of pressure wave reflections requires the measurement of aortic flow wave. However, direct flow measurement involves extra equipment and well-tra...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9996124/ https://www.ncbi.nlm.nih.gov/pubmed/36909238 http://dx.doi.org/10.3389/fphys.2023.1097879 |
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author | Sun, Hongming Yao, Yang Liu, Wenyan Zhou, Shuran Du, Shuo Tan, Junyi Yu, Yin Xu, Lisheng Avolio, Alberto |
author_facet | Sun, Hongming Yao, Yang Liu, Wenyan Zhou, Shuran Du, Shuo Tan, Junyi Yu, Yin Xu, Lisheng Avolio, Alberto |
author_sort | Sun, Hongming |
collection | PubMed |
description | Pulse wave reflections reflect cardiac afterload and perfusion, which yield valid indicators for monitoring cardiovascular status. Accurate quantification of pressure wave reflections requires the measurement of aortic flow wave. However, direct flow measurement involves extra equipment and well-trained operator. In this study, the personalized aortic flow waveform was estimated from the individual central aortic pressure waveform (CAPW) based on pressure-flow relations. The separated forward and backward pressure waves were used to calculate wave reflection indices such as reflection index (RI) and reflection magnitude (RM), as well as the central aortic pulse transit time (PTT). The effectiveness and feasibility of the method were validated by a set of clinical data (13 participants) and the Nektar1D Pulse Wave Database (4,374 subjects). The performance of the proposed personalized flow waveform method was compared with the traditional triangular flow waveform method and the recently proposed lognormal flow waveform method by statistical analyses. Results show that the root mean square error calculated by the personalized flow waveform approach is smaller than that of the typical triangular and lognormal flow methods, and the correlation coefficient with the measured flow waveform is higher. The estimated personalized flow waveform based on the characteristics of the CAPW can estimate wave reflection indices more accurately than the other two methods. The proposed personalized flow waveform method can be potentially used as a convenient alternative for the measurement of aortic flow waveform. |
format | Online Article Text |
id | pubmed-9996124 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-99961242023-03-10 Wave reflection quantification analysis and personalized flow wave estimation based on the central aortic pressure waveform Sun, Hongming Yao, Yang Liu, Wenyan Zhou, Shuran Du, Shuo Tan, Junyi Yu, Yin Xu, Lisheng Avolio, Alberto Front Physiol Physiology Pulse wave reflections reflect cardiac afterload and perfusion, which yield valid indicators for monitoring cardiovascular status. Accurate quantification of pressure wave reflections requires the measurement of aortic flow wave. However, direct flow measurement involves extra equipment and well-trained operator. In this study, the personalized aortic flow waveform was estimated from the individual central aortic pressure waveform (CAPW) based on pressure-flow relations. The separated forward and backward pressure waves were used to calculate wave reflection indices such as reflection index (RI) and reflection magnitude (RM), as well as the central aortic pulse transit time (PTT). The effectiveness and feasibility of the method were validated by a set of clinical data (13 participants) and the Nektar1D Pulse Wave Database (4,374 subjects). The performance of the proposed personalized flow waveform method was compared with the traditional triangular flow waveform method and the recently proposed lognormal flow waveform method by statistical analyses. Results show that the root mean square error calculated by the personalized flow waveform approach is smaller than that of the typical triangular and lognormal flow methods, and the correlation coefficient with the measured flow waveform is higher. The estimated personalized flow waveform based on the characteristics of the CAPW can estimate wave reflection indices more accurately than the other two methods. The proposed personalized flow waveform method can be potentially used as a convenient alternative for the measurement of aortic flow waveform. Frontiers Media S.A. 2023-02-23 /pmc/articles/PMC9996124/ /pubmed/36909238 http://dx.doi.org/10.3389/fphys.2023.1097879 Text en Copyright © 2023 Sun, Yao, Liu, Zhou, Du, Tan, Yu, Xu and Avolio. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Physiology Sun, Hongming Yao, Yang Liu, Wenyan Zhou, Shuran Du, Shuo Tan, Junyi Yu, Yin Xu, Lisheng Avolio, Alberto Wave reflection quantification analysis and personalized flow wave estimation based on the central aortic pressure waveform |
title | Wave reflection quantification analysis and personalized flow wave estimation based on the central aortic pressure waveform |
title_full | Wave reflection quantification analysis and personalized flow wave estimation based on the central aortic pressure waveform |
title_fullStr | Wave reflection quantification analysis and personalized flow wave estimation based on the central aortic pressure waveform |
title_full_unstemmed | Wave reflection quantification analysis and personalized flow wave estimation based on the central aortic pressure waveform |
title_short | Wave reflection quantification analysis and personalized flow wave estimation based on the central aortic pressure waveform |
title_sort | wave reflection quantification analysis and personalized flow wave estimation based on the central aortic pressure waveform |
topic | Physiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9996124/ https://www.ncbi.nlm.nih.gov/pubmed/36909238 http://dx.doi.org/10.3389/fphys.2023.1097879 |
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