An audit of uncertainty in multi-scale cardiac electrophysiology models.
cardiac electrophysiology
multiscale model
uncertainty quantification
Journal
Philosophical transactions. Series A, Mathematical, physical, and engineering sciences
ISSN: 1471-2962
Titre abrégé: Philos Trans A Math Phys Eng Sci
Pays: England
ID NLM: 101133385
Informations de publication
Date de publication:
12 Jun 2020
12 Jun 2020
Historique:
entrez:
26
5
2020
pubmed:
26
5
2020
medline:
2
3
2021
Statut:
ppublish
Résumé
Models of electrical activation and recovery in cardiac cells and tissue have become valuable research tools, and are beginning to be used in safety-critical applications including guidance for clinical procedures and for drug safety assessment. As a consequence, there is an urgent need for a more detailed and quantitative understanding of the ways that uncertainty and variability influence model predictions. In this paper, we review the sources of uncertainty in these models at different spatial scales, discuss how uncertainties are communicated across scales, and begin to assess their relative importance. We conclude by highlighting important challenges that continue to face the cardiac modelling community, identifying open questions, and making recommendations for future studies. This article is part of the theme issue 'Uncertainty quantification in cardiac and cardiovascular modelling and simulation'.
Identifiants
pubmed: 32448070
doi: 10.1098/rsta.2019.0335
pmc: PMC7287340
doi:
Types de publication
Journal Article
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
20190335Subventions
Organisme : Medical Research Council
ID : MR/S015086/1
Pays : United Kingdom
Organisme : British Heart Foundation
ID : PG/16/17/32069
Pays : United Kingdom
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