Literature DB >> 6467528

A computer study of the left ventricular performance based on fiber structure, sarcomere dynamics, and transmural electrical propagation velocity.

R Beyar, S Sideman.   

Abstract

A model of the left ventricle which combines a spheroidal geometry with a spatial fiber angle distribution is presented. The mechanics of each muscle fiber is described by its passive stress-strain relationship, active stress-strain relationship, and an activation function (half a sinusoid) which represents the time-dependent degree of activation of the fiber. A stress-strain rate relationship which characterizes the muscle fibers is used to calculate the mechanics of left ventricular contraction during ejection. Furthermore, a radial electrical signal propagation from the endocardium to the epicardium is used here as a first approximation to the actual depolarization sequence. The model is used to describe the process of contraction throughout the systole. The different calculated parameters and indices of left ventricular function are presented and discussed for different preloading, afterloading and contractility conditions. The maximum elastance is found to be an optimal macroscale parameter of contractility, as it is completely preload and afterload independent, and is a good reflection of the active microscale sarcomere stress-strain relationship.

Mesh:

Year:  1984        PMID: 6467528     DOI: 10.1161/01.res.55.3.358

Source DB:  PubMed          Journal:  Circ Res        ISSN: 0009-7330            Impact factor:   17.367


  30 in total

1.  Force interval relationship (FIR) related to the global function of the left ventricle: a computer study.

Authors:  R Beyar; D Burkhoff; S Sideman
Journal:  Med Biol Eng Comput       Date:  1990-09       Impact factor: 2.602

2.  Relation between left ventricular cavity pressure and volume and systolic fiber stress and strain in the wall.

Authors:  T Arts; P H Bovendeerd; F W Prinzen; R S Reneman
Journal:  Biophys J       Date:  1991-01       Impact factor: 4.033

3.  A novel rule-based algorithm for assigning myocardial fiber orientation to computational heart models.

Authors:  J D Bayer; R C Blake; G Plank; N A Trayanova
Journal:  Ann Biomed Eng       Date:  2012-05-31       Impact factor: 3.934

4.  On the three-dimensional vortical structure of early diastolic flow in a patient-specific left ventricle.

Authors:  Trung Bao Le; Fotis Sotiropoulos
Journal:  Eur J Mech B Fluids       Date:  2012-09       Impact factor: 2.183

5.  The step response of left ventricular pressure to ejection flow: a system oriented approach.

Authors:  H B Boom; H Wijkstra
Journal:  Ann Biomed Eng       Date:  1992       Impact factor: 3.934

6.  A conical model to describe the nonuniformity of the left ventricular twisting motion.

Authors:  H Azhari; M Buchalter; S Sideman; E Shapiro; R Beyar
Journal:  Ann Biomed Eng       Date:  1992       Impact factor: 3.934

7.  Mechanical pathophysiology of some heart diseases: a theoretical model study.

Authors:  R Beyar; S Sideman
Journal:  Med Biol Eng Comput       Date:  1990-05       Impact factor: 2.602

8.  Computer simulation of the mechanically-assisted failing canine circulation.

Authors:  O Barnea; T W Moore; D Jaron
Journal:  Ann Biomed Eng       Date:  1990       Impact factor: 3.934

9.  Influence of pleural pressure variations on cardiovascular system dynamics: a model study.

Authors:  Y Goldstein; R Beyar; S Sideman
Journal:  Med Biol Eng Comput       Date:  1988-05       Impact factor: 2.602

10.  Mathematical model of cardiovascular mechanics for diagnostic analysis and treatment of heart failure: Part 1. Model description and theoretical analysis.

Authors:  H Tsuruta; T Sato; M Shirataka; N Ikeda
Journal:  Med Biol Eng Comput       Date:  1994-01       Impact factor: 2.602

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