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BeatBox—HPC simulation environment for biophysically and anatomically realistic cardiac electrophysiology

The BeatBox simulation environment combines flexible script language user interface with the robust computational tools, in order to setup cardiac electrophysiology in-silico experiments without re-coding at low-level, so that cell excitation, tissue/anatomy models, stimulation protocols may be incl...

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Detalles Bibliográficos
Autores principales: Antonioletti, Mario, Biktashev, Vadim N., Jackson, Adrian, Kharche, Sanjay R., Stary, Tomas, Biktasheva, Irina V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5415003/
https://www.ncbi.nlm.nih.gov/pubmed/28467407
http://dx.doi.org/10.1371/journal.pone.0172292
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author Antonioletti, Mario
Biktashev, Vadim N.
Jackson, Adrian
Kharche, Sanjay R.
Stary, Tomas
Biktasheva, Irina V.
author_facet Antonioletti, Mario
Biktashev, Vadim N.
Jackson, Adrian
Kharche, Sanjay R.
Stary, Tomas
Biktasheva, Irina V.
author_sort Antonioletti, Mario
collection PubMed
description The BeatBox simulation environment combines flexible script language user interface with the robust computational tools, in order to setup cardiac electrophysiology in-silico experiments without re-coding at low-level, so that cell excitation, tissue/anatomy models, stimulation protocols may be included into a BeatBox script, and simulation run either sequentially or in parallel (MPI) without re-compilation. BeatBox is a free software written in C language to be run on a Unix-based platform. It provides the whole spectrum of multi scale tissue modelling from 0-dimensional individual cell simulation, 1-dimensional fibre, 2-dimensional sheet and 3-dimensional slab of tissue, up to anatomically realistic whole heart simulations, with run time measurements including cardiac re-entry tip/filament tracing, ECG, local/global samples of any variables, etc. BeatBox solvers, cell, and tissue/anatomy models repositories are extended via robust and flexible interfaces, thus providing an open framework for new developments in the field. In this paper we give an overview of the BeatBox current state, together with a description of the main computational methods and MPI parallelisation approaches.
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spelling pubmed-54150032017-05-14 BeatBox—HPC simulation environment for biophysically and anatomically realistic cardiac electrophysiology Antonioletti, Mario Biktashev, Vadim N. Jackson, Adrian Kharche, Sanjay R. Stary, Tomas Biktasheva, Irina V. PLoS One Research Article The BeatBox simulation environment combines flexible script language user interface with the robust computational tools, in order to setup cardiac electrophysiology in-silico experiments without re-coding at low-level, so that cell excitation, tissue/anatomy models, stimulation protocols may be included into a BeatBox script, and simulation run either sequentially or in parallel (MPI) without re-compilation. BeatBox is a free software written in C language to be run on a Unix-based platform. It provides the whole spectrum of multi scale tissue modelling from 0-dimensional individual cell simulation, 1-dimensional fibre, 2-dimensional sheet and 3-dimensional slab of tissue, up to anatomically realistic whole heart simulations, with run time measurements including cardiac re-entry tip/filament tracing, ECG, local/global samples of any variables, etc. BeatBox solvers, cell, and tissue/anatomy models repositories are extended via robust and flexible interfaces, thus providing an open framework for new developments in the field. In this paper we give an overview of the BeatBox current state, together with a description of the main computational methods and MPI parallelisation approaches. Public Library of Science 2017-05-03 /pmc/articles/PMC5415003/ /pubmed/28467407 http://dx.doi.org/10.1371/journal.pone.0172292 Text en © 2017 Antonioletti et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Antonioletti, Mario
Biktashev, Vadim N.
Jackson, Adrian
Kharche, Sanjay R.
Stary, Tomas
Biktasheva, Irina V.
BeatBox—HPC simulation environment for biophysically and anatomically realistic cardiac electrophysiology
title BeatBox—HPC simulation environment for biophysically and anatomically realistic cardiac electrophysiology
title_full BeatBox—HPC simulation environment for biophysically and anatomically realistic cardiac electrophysiology
title_fullStr BeatBox—HPC simulation environment for biophysically and anatomically realistic cardiac electrophysiology
title_full_unstemmed BeatBox—HPC simulation environment for biophysically and anatomically realistic cardiac electrophysiology
title_short BeatBox—HPC simulation environment for biophysically and anatomically realistic cardiac electrophysiology
title_sort beatbox—hpc simulation environment for biophysically and anatomically realistic cardiac electrophysiology
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5415003/
https://www.ncbi.nlm.nih.gov/pubmed/28467407
http://dx.doi.org/10.1371/journal.pone.0172292
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