A fractional derivative model to describe arterial viscoelasticity

Arterial viscoelasticity can be described with a complex modulus (E*) in the frequency domain. In arteries, E* presents a power-law response with a plateau for higher frequencies. Constitutive models based on a combination of purely elastic and viscous elements can be represented with integer order...

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Publicado: 2007
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Acceso en línea:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_0006355X_v44_n4_p251_Craiem
http://hdl.handle.net/20.500.12110/paper_0006355X_v44_n4_p251_Craiem
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spelling paper:paper_0006355X_v44_n4_p251_Craiem2023-06-08T14:31:19Z A fractional derivative model to describe arterial viscoelasticity Arterial wall mechanics Complex modulus Constitutive models Fractional calculus Viscoelasticity animal experiment animal tissue artery artery wall article experimental model in vivo study nonhuman prediction pressure theoretical model viscoelasticity Animals Aorta Arteries Elasticity Humans Models, Cardiovascular Muscle, Smooth, Vascular Sheep Stress, Mechanical Viscosity Arterial viscoelasticity can be described with a complex modulus (E*) in the frequency domain. In arteries, E* presents a power-law response with a plateau for higher frequencies. Constitutive models based on a combination of purely elastic and viscous elements can be represented with integer order differential equations but show several limitations. Recently, fractional derivative models with fewer parameters have proven to be efficient in describing rheological tissues. A new element, called "spring-pot", that interpolates between springs and dashpots is incorporated. Starting with a Voigt model, we proposed two fractional alternative models with one and two spring-pots. The three models were tested in an anesthetized sheep in a control state and during smooth muscle activation. A least squares method was used to fit E*. Local activation induced a vascular constriction with no pressure changes. The E* results confirmed the steep increase from static to dynamic values and a plateau in the range 2-30 Hz, coherent with fractional model predictions. Activation increased E*, affecting its real and imaginary parts separately. Only the model with two spring-pots correctly followed this behavior with the best performance in terms of least squares errors. In a context where activation separately modifies E*, this alternative model should be considered in describing arterial viscoelasticity in vivo. © 2007 - IOS Press and the authors. All rights reserved. 2007 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_0006355X_v44_n4_p251_Craiem http://hdl.handle.net/20.500.12110/paper_0006355X_v44_n4_p251_Craiem
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic Arterial wall mechanics
Complex modulus
Constitutive models
Fractional calculus
Viscoelasticity
animal experiment
animal tissue
artery
artery wall
article
experimental model
in vivo study
nonhuman
prediction
pressure
theoretical model
viscoelasticity
Animals
Aorta
Arteries
Elasticity
Humans
Models, Cardiovascular
Muscle, Smooth, Vascular
Sheep
Stress, Mechanical
Viscosity
spellingShingle Arterial wall mechanics
Complex modulus
Constitutive models
Fractional calculus
Viscoelasticity
animal experiment
animal tissue
artery
artery wall
article
experimental model
in vivo study
nonhuman
prediction
pressure
theoretical model
viscoelasticity
Animals
Aorta
Arteries
Elasticity
Humans
Models, Cardiovascular
Muscle, Smooth, Vascular
Sheep
Stress, Mechanical
Viscosity
A fractional derivative model to describe arterial viscoelasticity
topic_facet Arterial wall mechanics
Complex modulus
Constitutive models
Fractional calculus
Viscoelasticity
animal experiment
animal tissue
artery
artery wall
article
experimental model
in vivo study
nonhuman
prediction
pressure
theoretical model
viscoelasticity
Animals
Aorta
Arteries
Elasticity
Humans
Models, Cardiovascular
Muscle, Smooth, Vascular
Sheep
Stress, Mechanical
Viscosity
description Arterial viscoelasticity can be described with a complex modulus (E*) in the frequency domain. In arteries, E* presents a power-law response with a plateau for higher frequencies. Constitutive models based on a combination of purely elastic and viscous elements can be represented with integer order differential equations but show several limitations. Recently, fractional derivative models with fewer parameters have proven to be efficient in describing rheological tissues. A new element, called "spring-pot", that interpolates between springs and dashpots is incorporated. Starting with a Voigt model, we proposed two fractional alternative models with one and two spring-pots. The three models were tested in an anesthetized sheep in a control state and during smooth muscle activation. A least squares method was used to fit E*. Local activation induced a vascular constriction with no pressure changes. The E* results confirmed the steep increase from static to dynamic values and a plateau in the range 2-30 Hz, coherent with fractional model predictions. Activation increased E*, affecting its real and imaginary parts separately. Only the model with two spring-pots correctly followed this behavior with the best performance in terms of least squares errors. In a context where activation separately modifies E*, this alternative model should be considered in describing arterial viscoelasticity in vivo. © 2007 - IOS Press and the authors. All rights reserved.
title A fractional derivative model to describe arterial viscoelasticity
title_short A fractional derivative model to describe arterial viscoelasticity
title_full A fractional derivative model to describe arterial viscoelasticity
title_fullStr A fractional derivative model to describe arterial viscoelasticity
title_full_unstemmed A fractional derivative model to describe arterial viscoelasticity
title_sort fractional derivative model to describe arterial viscoelasticity
publishDate 2007
url https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_0006355X_v44_n4_p251_Craiem
http://hdl.handle.net/20.500.12110/paper_0006355X_v44_n4_p251_Craiem
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