Viscoelastic models for passive arterial wall dynamics

This paper compares two models predicting elastic and viscoelastic properties of large arteries. Models compared include a Kelvin (standard linear) model and an extended 2-term exponential linear viscoelastic model. Models were validated against in-vitro data from the ovine thoracic descending aorta...

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Autores principales: Valdez-Jasso, D., Banks, H.T., Haider, M.A., Bia, D., Zocalo, Y., Armentano, R.L., Olufsen, M.S.
Formato: JOUR
Lenguaje:English
Materias:
Arterial wall modeling
Dynamic viscoelastic models
Inverse problems
Statistical analysis for model comparison
Acceso en línea:http://hdl.handle.net/20.500.12110/paper_20700733_v1_n2_p151_ValdezJasso
Aporte de:
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires
id todo:paper_20700733_v1_n2_p151_ValdezJasso
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spelling todo:paper_20700733_v1_n2_p151_ValdezJasso2023-10-03T16:39:08Z Viscoelastic models for passive arterial wall dynamics Valdez-Jasso, D. Banks, H.T. Haider, M.A. Bia, D. Zocalo, Y. Armentano, R.L. Olufsen, M.S. Arterial wall modeling Dynamic viscoelastic models Inverse problems Statistical analysis for model comparison This paper compares two models predicting elastic and viscoelastic properties of large arteries. Models compared include a Kelvin (standard linear) model and an extended 2-term exponential linear viscoelastic model. Models were validated against in-vitro data from the ovine thoracic descending aorta and the carotid artery. Measurements of blood pressure data were used as an input to predict ves- sel cross-sectional area. Material properties were predicted by estimating a set of model parameters that minimize the difference between computed and measured values of the cross-sectional area. The model comparison was carried out using generalized analysis of variance type statistical tests. For the thoracic descending aorta, results suggest that the extended 2-term exponential model does not improve the ability to predict the observed cross-sectional area data, while for the carotid artery the extended model does statistically provide an improved fit to the data. This is in agreement with the fact that the aorta displays more complex nonlinear viscoelastic dynamics, while the stiffer carotid artery mainly displays simpler linear viscoelastic dynamics. © 2009 Global Science Press. JOUR English info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_20700733_v1_n2_p151_ValdezJasso
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
language English
orig_language_str_mv English
topic Arterial wall modeling
Dynamic viscoelastic models
Inverse problems
Statistical analysis for model comparison
spellingShingle Arterial wall modeling
Dynamic viscoelastic models
Inverse problems
Statistical analysis for model comparison
Valdez-Jasso, D.
Banks, H.T.
Haider, M.A.
Bia, D.
Zocalo, Y.
Armentano, R.L.
Olufsen, M.S.
Viscoelastic models for passive arterial wall dynamics
topic_facet Arterial wall modeling
Dynamic viscoelastic models
Inverse problems
Statistical analysis for model comparison
description This paper compares two models predicting elastic and viscoelastic properties of large arteries. Models compared include a Kelvin (standard linear) model and an extended 2-term exponential linear viscoelastic model. Models were validated against in-vitro data from the ovine thoracic descending aorta and the carotid artery. Measurements of blood pressure data were used as an input to predict ves- sel cross-sectional area. Material properties were predicted by estimating a set of model parameters that minimize the difference between computed and measured values of the cross-sectional area. The model comparison was carried out using generalized analysis of variance type statistical tests. For the thoracic descending aorta, results suggest that the extended 2-term exponential model does not improve the ability to predict the observed cross-sectional area data, while for the carotid artery the extended model does statistically provide an improved fit to the data. This is in agreement with the fact that the aorta displays more complex nonlinear viscoelastic dynamics, while the stiffer carotid artery mainly displays simpler linear viscoelastic dynamics. © 2009 Global Science Press.
format JOUR
author Valdez-Jasso, D.
Banks, H.T.
Haider, M.A.
Bia, D.
Zocalo, Y.
Armentano, R.L.
Olufsen, M.S.
author_facet Valdez-Jasso, D.
Banks, H.T.
Haider, M.A.
Bia, D.
Zocalo, Y.
Armentano, R.L.
Olufsen, M.S.
author_sort Valdez-Jasso, D.
title Viscoelastic models for passive arterial wall dynamics
title_short Viscoelastic models for passive arterial wall dynamics
title_full Viscoelastic models for passive arterial wall dynamics
title_fullStr Viscoelastic models for passive arterial wall dynamics
title_full_unstemmed Viscoelastic models for passive arterial wall dynamics
title_sort viscoelastic models for passive arterial wall dynamics
url http://hdl.handle.net/20.500.12110/paper_20700733_v1_n2_p151_ValdezJasso
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AT banksht viscoelasticmodelsforpassivearterialwalldynamics
AT haiderma viscoelasticmodelsforpassivearterialwalldynamics
AT biad viscoelasticmodelsforpassivearterialwalldynamics
AT zocaloy viscoelasticmodelsforpassivearterialwalldynamics
AT armentanorl viscoelasticmodelsforpassivearterialwalldynamics
AT olufsenms viscoelasticmodelsforpassivearterialwalldynamics
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