An audit of uncertainty in multi-scale cardiac electrophysiology models

R.H. Clayton*, Y. Aboelkassem, C.D. Cantwell, C. Corrado, T. Delhaas, W. Huberts, C.L. Lei, H.B. Ni, A.V. Panfilov, C. Roney, R.W. dos Santos

*Corresponding author for this work

Research output: Contribution to journal(Systematic) Review article peer-review

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'.
Original languageEnglish
Article number20190335
Number of pages21
JournalPhilosophical Transactions of the Royal Society A: mathematical Physical and Engineering Sciences
Volume378
Issue number2173
DOIs
Publication statusPublished - 12 Jun 2020

Keywords

  • cardiac electrophysiology
  • dynamics
  • electrical-conduction
  • heart
  • mechanisms
  • multiscale model
  • propagation
  • repolarization
  • sensitivity-analysis
  • tissue
  • uncertainty quantification
  • variability
  • verification
  • TISSUE
  • MECHANISMS
  • ELECTRICAL-CONDUCTION
  • REPOLARIZATION
  • HEART
  • VARIABILITY
  • SENSITIVITY-ANALYSIS
  • DYNAMICS
  • PROPAGATION
  • VERIFICATION

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