BioModels Database logo

BioModels Database


MODEL0393108880 - tenTusscher2004_CardiacArrhythmias


The following model is part of the non-curated branch of BioModels Database. While the syntax of the model has been verified, its semantics remains unchecked. Any annotation present in the models is not a product of BioModels' annotators. We are doing our best to incorporate this model into the curated branch as soon as possible. In the meantime, we display only limited metadata here. For further information about the model, please download the SBML file.

 |   |   |  Send feedback
Reference Publication
Publication ID: 14656705
ten Tusscher KH, Noble D, Noble PJ, Panfilov AV.
A model for human ventricular tissue.
Am. J. Physiol. Heart Circ. Physiol. 2004 Apr; 286(4): H1573-89
Department of Theoretical Biology, Utrecht University, 3584 CH Utrecht, The Netherlands.  [more]
Original Model: CellML logo
Submitter: Vijayalakshmi Chelliah
Submission Date: 22 Apr 2009 18:53:06 UTC
Last Modification Date: 20 Jan 2012 19:16:49 UTC
Creation Date: 22 Apr 2009 18:53:06 UTC
bqbiol:occursIn Brenda Tissue Ontology myocardium
bqbiol:hasTaxon Taxonomy Homo sapiens
bqbiol:isVersionOf Gene Ontology cardiac muscle cell action potential

This a model from the article:
A model for human ventricular tissue.
ten Tusscher KH, Noble D, Noble PJ, Panfilov AV. Am J Physiol Heart Circ Physiol 2004 Apr;286(4):H1573-89. 14656705 ,
The experimental and clinical possibilities for studying cardiac arrhythmias in human ventricular myocardium are very limited. Therefore, the use of alternative methods such as computer simulations is of great importance. In this article we introduce a mathematical model of the action potential of human ventricular cells that, while including a high level of electrophysiological detail, is computationally cost-effective enough to be applied in large-scale spatial simulations for the study of reentrant arrhythmias. The model is based on recent experimental data on most of the major ionic currents: the fast sodium, L-type calcium, transient outward, rapid and slow delayed rectifier, and inward rectifier currents. The model includes a basic calcium dynamics, allowing for the realistic modeling of calcium transients, calcium current inactivation, and the contraction staircase. We are able to reproduce human epicardial, endocardial, and M cell action potentials and show that differences can be explained by differences in the transient outward and slow delayed rectifier currents. Our model reproduces the experimentally observed data on action potential duration restitution, which is an important characteristic for reentrant arrhythmias. The conduction velocity restitution of our model is broader than in other models and agrees better with available data. Finally, we model the dynamics of spiral wave rotation in a two-dimensional sheet of human ventricular tissue and show that the spiral wave follows a complex meandering pattern and has a period of 265 ms. We conclude that the proposed model reproduces a variety of electrophysiological behaviors and provides a basis for studies of reentrant arrhythmias in human ventricular tissue.

This model was taken from the CellML repository and automatically converted to SBML.
The original model was: ten Tusscher KH, Noble D, Noble PJ, Panfilov AV. (2004 - version05
The original CellML model was created by:
Noble, Penny, J
Oxford University
Department of Physiology, Anatomy & Genetics

This model originates from BioModels Database: A Database of Annotated Published Models (
To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information.

In summary, you are entitled to use this encoded model in absolutely any manner you deem suitable, verbatim, or with modification, alone or embedded it in a larger context, redistribute it, commercially or not, in a restricted way or not..

To cite BioModels Database, please use: Li C, Donizelli M, Rodriguez N, Dharuri H, Endler L, Chelliah V, Li L, He E, Henry A, Stefan MI, Snoep JL, Hucka M, Le Novère N, Laibe C (2010) BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. BMC Syst Biol., 4:92.