Literature DB >> 17110776

Cell model for efficient simulation of wave propagation in human ventricular tissue under normal and pathological conditions.

K H W J Ten Tusscher1, A V Panfilov.   

Abstract

In this paper, we formulate a model for human ventricular cells that is efficient enough for whole organ arrhythmia simulations yet detailed enough to capture the effects of cell level processes such as current blocks and channelopathies. The model is obtained from our detailed human ventricular cell model by using mathematical techniques to reduce the number of variables from 19 to nine. We carefully compare our full and reduced model at the single cell, cable and 2D tissue level and show that the reduced model has a very similar behaviour. Importantly, the new model correctly produces the effects of current blocks and channelopathies on AP and spiral wave behaviour, processes at the core of current day arrhythmia research. The new model is well over four times more efficient than the full model. We conclude that the new model can be used for efficient simulations of the effects of current changes on arrhythmias in the human heart.

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Year:  2006        PMID: 17110776     DOI: 10.1088/0031-9155/51/23/014

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  54 in total

Review 1.  Human cardiac systems electrophysiology and arrhythmogenesis: iteration of experiment and computation.

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Journal:  Europace       Date:  2014-11       Impact factor: 5.214

2.  How the Hodgkin-Huxley equations inspired the Cardiac Physiome Project.

Authors:  Denis Noble; Alan Garny; Penelope J Noble
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3.  Uniqueness and stability of action potential models during rest, pacing, and conduction using problem-solving environment.

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4.  Share and enjoy: anatomical models database--generating and sharing cardiovascular model data using web services.

Authors:  Eric Kerfoot; Pablo Lamata; Steve Niederer; Rod Hose; Jos Spaan; Nic Smith
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5.  Sensitivity analysis of an electrophysiology model for the left ventricle.

Authors:  Giulio Del Corso; Roberto Verzicco; Francesco Viola
Journal:  J R Soc Interface       Date:  2020-10-28       Impact factor: 4.118

6.  Computational prediction of the effect of D172N KCNJ2 mutation on ventricular pumping during sinus rhythm and reentry.

Authors:  Aulia Khamas Heikhmakhtiar; Chung Hao Lee; Kwang Soup Song; Ki Moo Lim
Journal:  Med Biol Eng Comput       Date:  2020-02-24       Impact factor: 2.602

7.  A novel computational model of the human ventricular action potential and Ca transient.

Authors:  Eleonora Grandi; Francesco S Pasqualini; Donald M Bers
Journal:  J Mol Cell Cardiol       Date:  2009-10-14       Impact factor: 5.000

8.  An integrative appraisal of mechano-electric feedback mechanisms in the heart.

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Journal:  Prog Biophys Mol Biol       Date:  2017-08-26       Impact factor: 3.667

9.  Scalability of Asynchronous Networks Is Limited by One-to-One Mapping between Effective Connectivity and Correlations.

Authors:  Sacha Jennifer van Albada; Moritz Helias; Markus Diesmann
Journal:  PLoS Comput Biol       Date:  2015-09-01       Impact factor: 4.475

10.  Simulation of Cardiac Arrhythmias Using a 2D Heterogeneous Whole Heart Model.

Authors:  Minimol Balakrishnan; V Srinivasa Chakravarthy; Soma Guhathakurta
Journal:  Front Physiol       Date:  2015-12-21       Impact factor: 4.566

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