Literature DB >> 9227574

A dynamic model of ventricular interaction and pericardial influence.

D C Chung1, S C Niranjan, J W Clark, A Bidani, W E Johnston, J B Zwischenberger, D L Traber.   

Abstract

A mathematical model describing the dynamic interaction between the left and the right ventricle over the complete cardiac cycle is presented. The pericardium-bound left and right ventricles are represented as two coupled chambers consisting of the left and right free walls and the interventricular septum. Time-varying pressure-volume relationships characterize the component compliances, and the interaction of these components produces the globally observed ventricular pump properties (total chamber pressure and volume). The model 1) permits the simulation of passive (diastolic) and active (systolic) ventricular interaction, 2) provides temporal profiles of hemodynamic variables (e.g., ventricular pressures, volumes, and flow) that agree well with reported observations, and 3) can be used to examine the effect of the pericardium on ventricular interaction and ventricular mechanics. It can be reduced to equivalency with models previously reported by invoking simplifying assumptions. Furthermore, model-generated "dynamic interaction gains" are employed to quantify the mode and degree of ventricular interaction. The model also yields qualitative predictions of septal and free wall displacements similar to those detected experimentally via M-mode echocardiography. Such analogies may be extended easily to the study of pathophysiological states via appropriate modifications to 1) the pressure-volume characteristics of the component walls (and/or pericardium) and/or 2) the specific time course of activation of the ventricular free wall or the septum. A limited number of examples are included to demonstrate the utility of the model, which may be used as an adjunct to new experimental investigations into ventricular interaction.

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Year:  1997        PMID: 9227574     DOI: 10.1152/ajpheart.1997.272.6.H2942

Source DB:  PubMed          Journal:  Am J Physiol        ISSN: 0002-9513


  21 in total

1.  Coupling of a 3D finite element model of cardiac ventricular mechanics to lumped systems models of the systemic and pulmonic circulation.

Authors:  Roy C P Kerckhoffs; Maxwell L Neal; Quan Gu; James B Bassingthwaighte; Jeff H Omens; Andrew D McCulloch
Journal:  Ann Biomed Eng       Date:  2006-11-08       Impact factor: 3.934

2.  Interventricular coupling coefficients in a thick shell model of passive cardiac chamber deformation.

Authors:  N Toschi; M Guerrisi
Journal:  Med Biol Eng Comput       Date:  2008-03-26       Impact factor: 2.602

3.  Algorithmic processing of pressure waveforms to facilitate estimation of cardiac elastance.

Authors:  David Stevenson; James Revie; J Geoffrey Chase; Christopher E Hann; Geoffrey M Shaw; Bernard Lambermont; Alexandre Ghuysen; Philippe Kolh; Thomas Desaive
Journal:  Biomed Eng Online       Date:  2012-06-15       Impact factor: 2.819

4.  Heart-Lung Interactions During Mechanical Ventilation: Analysis via a Cardiopulmonary Simulation Model.

Authors:  Nikolaos Karamolegkos; Antonio Albanese; Nicolas W Chbat
Journal:  IEEE Open J Eng Med Biol       Date:  2021-11-17

5.  Three-wall segment (TriSeg) model describing mechanics and hemodynamics of ventricular interaction.

Authors:  Joost Lumens; Tammo Delhaas; Borut Kirn; Theo Arts
Journal:  Ann Biomed Eng       Date:  2009-08-29       Impact factor: 3.934

6.  Beat-to-beat estimation of the continuous left and right cardiac elastance from metrics commonly available in clinical settings.

Authors:  David Stevenson; James Revie; J Geoffrey Chase; Christopher E Hann; Geoffrey M Shaw; Bernard Lambermont; Alexandre Ghuysen; Philippe Kolh; Thomas Desaive
Journal:  Biomed Eng Online       Date:  2012-09-21       Impact factor: 2.819

Review 7.  Review of zero-D and 1-D models of blood flow in the cardiovascular system.

Authors:  Yubing Shi; Patricia Lawford; Rodney Hose
Journal:  Biomed Eng Online       Date:  2011-04-26       Impact factor: 2.819

8.  Modeling left ventricular diastolic dysfunction: classification and key indicators.

Authors:  Chuan Luo; Deepa Ramachandran; David L Ware; Tony S Ma; John W Clark
Journal:  Theor Biol Med Model       Date:  2011-05-09       Impact factor: 2.432

9.  Using a human cardiovascular-respiratory model to characterize cardiac tamponade and pulsus paradoxus.

Authors:  Deepa Ramachandran; Chuan Luo; Tony S Ma; John W Clark
Journal:  Theor Biol Med Model       Date:  2009-08-06       Impact factor: 2.432

10.  Mechanism study of pulsus paradoxus using mechanical models.

Authors:  Chang-yang Xing; Tie-sheng Cao; Li-jun Yuan; Zhen Wang; Kun Wang; Hua-ri Ren; Yong Yang; Yun-you Duan
Journal:  PLoS One       Date:  2013-02-28       Impact factor: 3.240

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