Literature DB >> 22013009

A low-order model for left ventricle dynamics throughout the cardiac cycle.

Michael J Moulton1, Timothy W Secomb.   

Abstract

A theoretical model is used to simulate the dynamics of the left ventricle (LV) through all phases of the cardiac cycle, including interactions between myocardial contractility and ventricular pressure generation and effects of preload and afterload. The ventricle is represented as a cylinder containing helical muscle fibres with non-linear passive and active material properties, embedded in a uniform viscoelastic matrix. The dynamics of the ventricle are represented by a system of differential algebraic equations, whose numerical solution yields pressure-volume loops over successive cardiac cycles. Predicted time-dependent torsional, circumferential and longitudinal strains in the LV are consistent with experimental observations. The model is used to examine the effects of changes in underlying properties of the heart, including myocardial contractility, fibre orientation, passive stiffness, atrial pressure and peripheral resistance, on observable parameters such as stroke work, ejection fraction and end-systolic pressure-volume relationship. Stroke work is shown to be linearly dependent on end-diastolic volume but also to depend on afterload. Diastolic suction and its effect on filling are demonstrated. In this modelling approach, the dynamics of the heart are represented using a low-order dynamical system, and simulations can be carried out much faster than real time. Such a model could potentially be used to deduce patient-specific parameters of ventricular performance on-line from clinically available measurements.

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Year:  2011        PMID: 22013009     DOI: 10.1093/imammb/dqr024

Source DB:  PubMed          Journal:  Math Med Biol        ISSN: 1477-8599            Impact factor:   1.854


  5 in total

1.  Modeling Active Contraction and Relaxation of Left Ventricle Using Different Zero-load Diastole and Systole Geometries for Better Material Parameter Estimation and Stress/Strain Calculations.

Authors:  Longling Fan; Jing Yao; Chun Yang; Di Xu; Dalin Tang
Journal:  Mol Cell Biomech       Date:  2016

2.  Simulation of Left Ventricular Dynamics Using a Low-Order Mathematical Model.

Authors:  Michael J Moulton; Brian D Hong; Timothy W Secomb
Journal:  Cardiovasc Eng Technol       Date:  2017-08-15       Impact factor: 2.495

3.  Gaussian Process Regressions for Inverse Problems and Parameter Searches in Models of Ventricular Mechanics.

Authors:  Paolo Di Achille; Ahmed Harouni; Svyatoslav Khamzin; Olga Solovyova; John J Rice; Viatcheslav Gurev
Journal:  Front Physiol       Date:  2018-08-14       Impact factor: 4.566

4.  Modeling left ventricular dynamics with characteristic deformation modes.

Authors:  Brian D Hong; Michael J Moulton; Timothy W Secomb
Journal:  Biomech Model Mechanobiol       Date:  2019-05-25

5.  Time-Dependent Regional Myocardial Strains in Patients with Heart Failure with a Preserved Ejection Fraction.

Authors:  Shane P Smith; Timothy W Secomb; Brian D Hong; Michael J Moulton
Journal:  Biomed Res Int       Date:  2016-03-03       Impact factor: 3.411

  5 in total

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