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Modelling the cardiovascular system for assessing the blood pressure curve

A four compartment model of the cardiovascular system is developed. To allow for easy interpretation and to minimise the number of parameters, an effort was made to keep the model as simple as possible. Using a standard method (Matlab function fminsearch) to calculate the parameter values led to una...

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Detalles Bibliográficos
Autores principales: Myers, T. G., Ribas Ripoll, Vicent, Sáez de Tejada Cuenca, Anna, Mitchell, Sarah L., McGuinness, Mark J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5487539/
https://www.ncbi.nlm.nih.gov/pubmed/28680510
http://dx.doi.org/10.1186/s40929-017-0011-1
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author Myers, T. G.
Ribas Ripoll, Vicent
Sáez de Tejada Cuenca, Anna
Mitchell, Sarah L.
McGuinness, Mark J.
author_facet Myers, T. G.
Ribas Ripoll, Vicent
Sáez de Tejada Cuenca, Anna
Mitchell, Sarah L.
McGuinness, Mark J.
author_sort Myers, T. G.
collection PubMed
description A four compartment model of the cardiovascular system is developed. To allow for easy interpretation and to minimise the number of parameters, an effort was made to keep the model as simple as possible. Using a standard method (Matlab function fminsearch) to calculate the parameter values led to unacceptable run times or non-convergence. Consequently we developed an algorithm which first finds the most important model parameters and uses these as a basis for a four stage process which accurately determines all parameter values. This process is then applied to data from three ICU patients. Good agreement between the model and measured arterial pressure is demonstrated in all cases.
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spelling pubmed-54875392017-07-03 Modelling the cardiovascular system for assessing the blood pressure curve Myers, T. G. Ribas Ripoll, Vicent Sáez de Tejada Cuenca, Anna Mitchell, Sarah L. McGuinness, Mark J. Math Ind Case Stud Research A four compartment model of the cardiovascular system is developed. To allow for easy interpretation and to minimise the number of parameters, an effort was made to keep the model as simple as possible. Using a standard method (Matlab function fminsearch) to calculate the parameter values led to unacceptable run times or non-convergence. Consequently we developed an algorithm which first finds the most important model parameters and uses these as a basis for a four stage process which accurately determines all parameter values. This process is then applied to data from three ICU patients. Good agreement between the model and measured arterial pressure is demonstrated in all cases. Springer International Publishing 2017-04-04 2017 /pmc/articles/PMC5487539/ /pubmed/28680510 http://dx.doi.org/10.1186/s40929-017-0011-1 Text en © The Author(s) 2017 Open Access This 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.
spellingShingle Research
Myers, T. G.
Ribas Ripoll, Vicent
Sáez de Tejada Cuenca, Anna
Mitchell, Sarah L.
McGuinness, Mark J.
Modelling the cardiovascular system for assessing the blood pressure curve
title Modelling the cardiovascular system for assessing the blood pressure curve
title_full Modelling the cardiovascular system for assessing the blood pressure curve
title_fullStr Modelling the cardiovascular system for assessing the blood pressure curve
title_full_unstemmed Modelling the cardiovascular system for assessing the blood pressure curve
title_short Modelling the cardiovascular system for assessing the blood pressure curve
title_sort modelling the cardiovascular system for assessing the blood pressure curve
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5487539/
https://www.ncbi.nlm.nih.gov/pubmed/28680510
http://dx.doi.org/10.1186/s40929-017-0011-1
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