| Literature DB >> 32448070 |
Richard H Clayton1, Yasser Aboelkassem2, Chris D Cantwell3, Cesare Corrado4, Tammo Delhaas5, Wouter Huberts5,6, Chon Lok Lei7, Haibo Ni8, Alexander V Panfilov9,10, Caroline Roney4, Rodrigo Weber Dos Santos11.
Abstract
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'.Keywords: cardiac electrophysiology; multiscale model; uncertainty quantification
Mesh:
Year: 2020 PMID: 32448070 PMCID: PMC7287340 DOI: 10.1098/rsta.2019.0335
Source DB: PubMed Journal: Philos Trans A Math Phys Eng Sci ISSN: 1364-503X Impact factor: 4.226