Literature DB >> 19865801

A tissue-level electromechanical model of the left ventricle: application to the analysis of intraventricular pressure.

Virginie Le Rolle1, Guy Carrault, Pierre-Yves Richard, Philippe Pibarot, Louis-Gilles Durand, Alfredo I Hernández.   

Abstract

The ventricular pressure profile is characteristic of the cardiac contraction progress and is useful to evaluate the cardiac performance. In this contribution, a tissue-level electromechanical model of the left ventricle is proposed, to assist the interpretation of left ventricular pressure waveforms. The left ventricle has been modeled as an ellipsoid composed of twelve mechano-hydraulic sub-systems. The asynchronous contraction of these twelve myocardial segments has been represented in order to reproduce a realistic pressure profiles. To take into account the different energy domains involved, the tissue-level scale and to facilitate the building of a modular model, multiple formalisms have been used: Bond Graph formalism for the mechano-hydraulic aspects and cellular automata for the electrical activation. An experimental protocol has been defined to acquire ventricular pressure signals from three pigs, with different afterload conditions. Evolutionary Algorithms have been used to identify the model parameters in order to minimize the error between experimental and simulated ventricular pressure signals. Simulation results show that the model is able to reproduce experimental ventricular pressure. In addition, electro-mechanical activation times have been determined in the identification process. For example, the maximum electrical activation time is reached, respectively, 96.5, 139.3 and 131.5 ms for the first, second, and third pigs. These preliminary results are encouraging for the application of the model on non-invasive data like ECG, arterial pressure or myocardial strain.

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Year:  2009        PMID: 19865801      PMCID: PMC2833409          DOI: 10.1007/s10441-009-9092-y

Source DB:  PubMed          Journal:  Acta Biotheor        ISSN: 0001-5342            Impact factor:   1.774


  22 in total

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2.  Study of the myocardial contraction and relaxation velocities through Doppler tissue imaging echocardiography: A new alternative in the assessment of the segmental ventricular function.

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3.  A paradigm for quantifying ventricular contraction.

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4.  Homogeneity of cardiac contraction despite physiological asynchrony of depolarization: a model study.

Authors:  R C P Kerckhoffs; P H M Bovendeerd; J C S Kotte; F W Prinzen; K Smits; T Arts
Journal:  Ann Biomed Eng       Date:  2003-05       Impact factor: 3.934

5.  Timing of depolarization and contraction in the paced canine left ventricle: model and experiment.

Authors:  Roy C P Kerckhoffs; Owen P Faris; Peter H M Bovendeerd; Frits W Prinzen; Karel Smits; Elliot R McVeigh; Theo Arts
Journal:  J Cardiovasc Electrophysiol       Date:  2003-10

6.  Model-based interpretation of cardiac beats by evolutionary algorithms: signal and model interaction.

Authors:  Alfredo I Hernández; Guy Carrault; Fernando Mora; Alain Bardou
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7.  Myocardial mechanics: application of sliding-filament theory to isovolumic concentration of the left ventricle.

Authors:  A Y Wong
Journal:  J Biomech       Date:  1973-09       Impact factor: 2.712

8.  Total excitation of the isolated human heart.

Authors:  D Durrer; R T van Dam; G E Freud; M J Janse; F L Meijler; R C Arzbaecher
Journal:  Circulation       Date:  1970-06       Impact factor: 29.690

9.  A model for human ventricular tissue.

Authors:  K H W J ten Tusscher; D Noble; P J Noble; A V Panfilov
Journal:  Am J Physiol Heart Circ Physiol       Date:  2003-12-04       Impact factor: 4.733

10.  Effects of wall stress on the dynamics of ventricular fibrillation: a simulation study using a dynamic mechanoelectric model of ventricular tissue.

Authors:  Satoko Hirabayashi; Masashi Inagaki; Toshiaki Hisada
Journal:  J Cardiovasc Electrophysiol       Date:  2008-02-13
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  1 in total

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Journal:  Interface Focus       Date:  2017-12-15       Impact factor: 3.906

  1 in total

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