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An audit of uncertainty in multi-scale cardiac electrophysiology models.

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Title: An audit of uncertainty in multi-scale cardiac electrophysiology models.
Authors: Clayton, RH
Aboelkassem, Y
Cantwell, CD
Corrado, C
Delhaas, T
Huberts, W
Lei, CL
Ni, H
Panfilov, AV
Roney, C
Dos Santos, RW
Item Type: Journal Article
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'.
Issue Date: 12-Jun-2020
Date of Acceptance: 16-Mar-2020
URI: http://hdl.handle.net/10044/1/81032
DOI: 10.1098/rsta.2019.0335
ISSN: 1364-503X
Publisher: Royal Society, The
Start Page: 1
End Page: 21
Journal / Book Title: Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences
Volume: 378
Issue: 2173
Copyright Statement: © 2020 the authors
Sponsor/Funder: Rosetrees Trust
Funder's Grant Number: A1173/ M577
Keywords: Science & Technology
Multidisciplinary Sciences
Science & Technology - Other Topics
uncertainty quantification
cardiac electrophysiology
multiscale model
SENSITIVITY-ANALYSIS
ELECTRICAL-CONDUCTION
HEART
REPOLARIZATION
PROPAGATION
VARIABILITY
DYNAMICS
TISSUE
VERIFICATION
MECHANISMS
cardiac electrophysiology
multiscale model
uncertainty quantification
cardiac electrophysiology
multiscale model
uncertainty quantification
General Science & Technology
Publication Status: Published
Conference Place: England
Online Publication Date: 2020-05-25
Appears in Collections:Aeronautics