Literature DB >> 15036180

Minimal haemodynamic system model including ventricular interaction and valve dynamics.

Bram W Smith1, J Geoffrey Chase, Roger I Nokes, Geoffrey M Shaw, Graeme Wake.   

Abstract

Characterising circulatory dysfunction and choosing a suitable treatment is often difficult and time consuming, and can result in a deterioration in patient condition, or unsuitable therapy choices. A stable minimal model of the human cardiovascular system (CVS) is developed with the ultimate specific aim of assisting medical staff for rapid, on site modelling to assist in diagnosis and treatment. Models found in the literature simulate specific areas of the CVS with limited direct usefulness to medical staff. Others model the full CVS as a closed loop system, but they were found to be very complex, difficult to solve, or unstable. This paper develops a model that uses a minimal number of governing equations with the primary goal of accurately capturing trends in the CVS dynamics in a simple, easily solved, robust model. The model is shown to have long term stability and consistency with non-specific initial conditions as a result. An "open on pressure close on flow" valve law is created to capture the effects of inertia and the resulting dynamics of blood flow through the cardiac valves. An accurate, stable solution is performed using a method that varies the number of states in the model depending on the specific phase of the cardiac cycle, better matching the real physiological conditions. Examples of results include a 9% drop in cardiac output when increasing the thoracic pressure from -4 to 0 mmHg, and an increase in blood pressure from 120/80 to 165/130 mmHg when the systemic resistance is doubled. These results show that the model adequately provides appropriate magnitudes and trends that are in agreement with existing data for a variety of physiologically verified test cases simulating human CVS function.

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Year:  2004        PMID: 15036180     DOI: 10.1016/j.medengphy.2003.10.001

Source DB:  PubMed          Journal:  Med Eng Phys        ISSN: 1350-4533            Impact factor:   2.242


  31 in total

1.  Modeling a healthy and a person with heart failure conditions using the object-oriented modeling environment Dymola.

Authors:  Stefanie Heinke; Carina Pereira; Steffen Leonhardt; Marian Walter
Journal:  Med Biol Eng Comput       Date:  2015-09-18       Impact factor: 2.602

2.  Simulating physiological interactions in a hybrid system of mathematical models.

Authors:  Jörn Kretschmer; Thomas Haunsberger; Erick Drost; Edmund Koch; Knut Möller
Journal:  J Clin Monit Comput       Date:  2013-08-29       Impact factor: 2.502

3.  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

4.  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

5.  Phenotyping heart failure using model-based analysis and physiology-informed machine learning.

Authors:  Edith Jones; E Benjamin Randall; Scott L Hummel; David M Cameron; Daniel A Beard; Brian E Carlson
Journal:  J Physiol       Date:  2021-10-18       Impact factor: 5.182

6.  A Novel Method to Verify Multilevel Computational Models of Biological Systems Using Multiscale Spatio-Temporal Meta Model Checking.

Authors:  Ovidiu Pârvu; David Gilbert
Journal:  PLoS One       Date:  2016-05-17       Impact factor: 3.240

7.  Cardiovascular regulation in response to multiple hemorrhages: analysis and parameter estimation.

Authors:  Maria-Veronica Ciocanel; Steffen S Docken; Rebecca E Gasper; Caron Dean; Brian E Carlson; Mette S Olufsen
Journal:  Biol Cybern       Date:  2018-09-12       Impact factor: 2.086

8.  A simulation study of left ventricular decompression using a double lumen arterial cannula prototype during a veno-arterial extracorporeal membrane oxygenation.

Authors:  Filip Ježek; Svitlana Strunina; Brian E Carlson; Jiří Hozman
Journal:  Int J Artif Organs       Date:  2019-06-27       Impact factor: 1.595

9.  Cardiovascular Function and Ballistocardiogram: A Relationship Interpreted via Mathematical Modeling.

Authors:  Giovanna Guidoboni; Lorenzo Sala; Moein Enayati; Riccardo Sacco; Marcela Szopos; James M Keller; Mihail Popescu; Laurel Despins; Virginia H Huxley; Marjorie Skubic
Journal:  IEEE Trans Biomed Eng       Date:  2019-02-06       Impact factor: 4.538

10.  Numerical Simulation of the Effect of Pulmonary Vascular Resistance on the Hemodynamics of Reoperation After Failure of One and a Half Ventricle Repair.

Authors:  Yan Fu; Aike Qiao; Yao Yang; Xiangming Fan
Journal:  Front Physiol       Date:  2020-03-17       Impact factor: 4.566

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