Literature DB >> 20303361

Cardiac cell modelling: observations from the heart of the cardiac physiome project.

Martin Fink1, Steven A Niederer, Elizabeth M Cherry, Flavio H Fenton, Jussi T Koivumäki, Gunnar Seemann, Rüdiger Thul, Henggui Zhang, Frank B Sachse, Dan Beard, Edmund J Crampin, Nicolas P Smith.   

Abstract

In this manuscript we review the state of cardiac cell modelling in the context of international initiatives such as the IUPS Physiome and Virtual Physiological Human Projects, which aim to integrate computational models across scales and physics. In particular we focus on the relationship between experimental data and model parameterisation across a range of model types and cellular physiological systems. Finally, in the context of parameter identification and model reuse within the Cardiac Physiome, we suggest some future priority areas for this field.
Copyright © 2010 Elsevier Ltd. All rights reserved.

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Year:  2010        PMID: 20303361     DOI: 10.1016/j.pbiomolbio.2010.03.002

Source DB:  PubMed          Journal:  Prog Biophys Mol Biol        ISSN: 0079-6107            Impact factor:   3.667


  63 in total

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

Authors:  Katherine M Holzem; Eli J Madden; Igor R Efimov
Journal:  Europace       Date:  2014-11       Impact factor: 5.214

Review 2.  At the heart of computational modelling.

Authors:  S A Niederer; N P Smith
Journal:  J Physiol       Date:  2012-01-23       Impact factor: 5.182

Review 3.  Exploiting mathematical models to illuminate electrophysiological variability between individuals.

Authors:  Amrita X Sarkar; David J Christini; Eric A Sobie
Journal:  J Physiol       Date:  2012-04-10       Impact factor: 5.182

4.  Verification of cardiac tissue electrophysiology simulators using an N-version benchmark.

Authors:  Steven A Niederer; Eric Kerfoot; Alan P Benson; Miguel O Bernabeu; Olivier Bernus; Chris Bradley; Elizabeth M Cherry; Richard Clayton; Flavio H Fenton; Alan Garny; Elvio Heidenreich; Sander Land; Mary Maleckar; Pras Pathmanathan; Gernot Plank; José F Rodríguez; Ishani Roy; Frank B Sachse; Gunnar Seemann; Ola Skavhaug; Nic P Smith
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2011-11-13       Impact factor: 4.226

Review 5.  Computational modeling of the human atrial anatomy and electrophysiology.

Authors:  Olaf Dössel; Martin W Krueger; Frank M Weber; Mathias Wilhelms; Gunnar Seemann
Journal:  Med Biol Eng Comput       Date:  2012-06-21       Impact factor: 2.602

6.  Simulation of Spiral Waves and Point Sources in Atrial Fibrillation with Application to Rotor Localization.

Authors:  Prasanth Ganesan; Kristina E Shillieto; Behnaz Ghoraani
Journal:  Proc IEEE Int Symp Comput Based Med Syst       Date:  2017-11-13

Review 7.  Cardiac ischemia-insights from computational models.

Authors:  Axel Loewe; Eike Moritz Wülfers; Gunnar Seemann
Journal:  Herzschrittmacherther Elektrophysiol       Date:  2018-01-05

8.  Energy-based analysis of biochemical cycles using bond graphs.

Authors:  Peter J Gawthrop; Edmund J Crampin
Journal:  Proc Math Phys Eng Sci       Date:  2014-11-08       Impact factor: 2.704

Review 9.  Interpreting genetic effects through models of cardiac electromechanics.

Authors:  S A Niederer; S Land; S W Omholt; N P Smith
Journal:  Am J Physiol Heart Circ Physiol       Date:  2012-10-05       Impact factor: 4.733

10.  Predicting critical drug concentrations and torsadogenic risk using a multiscale exposure-response simulator.

Authors:  Francisco Sahli Costabal; Jiang Yao; Anna Sher; Ellen Kuhl
Journal:  Prog Biophys Mol Biol       Date:  2018-10-26       Impact factor: 3.667

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