Literature DB >> 32448070

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

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


  104 in total

1.  A meta-analysis of cardiac electrophysiology computational models.

Authors:  S A Niederer; M Fink; D Noble; N P Smith
Journal:  Exp Physiol       Date:  2009-01-12       Impact factor: 2.969

2.  Uncertainty quantification of 2 models of cardiac electromechanics.

Authors:  Daniel E Hurtado; Sebastián Castro; Pedro Madrid
Journal:  Int J Numer Method Biomed Eng       Date:  2017-07-04       Impact factor: 2.747

3.  Extent and spatial distribution of left atrial arrhythmogenic sites, late gadolinium enhancement at magnetic resonance imaging, and low-voltage areas in patients with persistent atrial fibrillation: comparison of imaging vs. electrical parameters of fibrosis and arrhythmogenesis.

Authors:  Juan Chen; Thomas Arentz; Hubert Cochet; Björn Müller-Edenborn; Steven Kim; Zoraida Moreno-Weidmann; Jan Minners; Peter Kohl; Heiko Lehrmann; Juergen Allgeier; Dietmar Trenk; Meleze Hocini; Pierre Jais; Michel Haissaguerre; Amir Jadidi
Journal:  Europace       Date:  2019-10-01       Impact factor: 5.214

4.  Noninvasive imaging of cardiac electrophysiology and arrhythmia.

Authors:  Yoram Rudy
Journal:  Ann N Y Acad Sci       Date:  2010-02       Impact factor: 5.691

5.  Bifurcation and chaos in a model of cardiac early afterdepolarizations.

Authors:  Diana X Tran; Daisuke Sato; Arik Yochelis; James N Weiss; Alan Garfinkel; Zhilin Qu
Journal:  Phys Rev Lett       Date:  2009-06-25       Impact factor: 9.161

6.  Autonomic nerve stimulation reverses ventricular repolarization sequence in rabbit hearts.

Authors:  Rajkumar Mantravadi; Bethann Gabris; Tong Liu; Bum-Rak Choi; William C de Groat; G André Ng; Guy Salama
Journal:  Circ Res       Date:  2007-03-15       Impact factor: 17.367

7.  Vortex filament dynamics in computational models of ventricular fibrillation in the heart.

Authors:  Richard H Clayton
Journal:  Chaos       Date:  2008-12       Impact factor: 3.642

8.  Uncertainty and variability in models of the cardiac action potential: Can we build trustworthy models?

Authors:  Ross H Johnstone; Eugene T Y Chang; Rémi Bardenet; Teun P de Boer; David J Gavaghan; Pras Pathmanathan; Richard H Clayton; Gary R Mirams
Journal:  J Mol Cell Cardiol       Date:  2015-12-02       Impact factor: 5.000

9.  A work flow to build and validate patient specific left atrium electrophysiology models from catheter measurements.

Authors:  Cesare Corrado; Steven Williams; Rashed Karim; Gernot Plank; Mark O'Neill; Steven Niederer
Journal:  Med Image Anal       Date:  2018-04-27       Impact factor: 8.545

Review 10.  A Heart for Diversity: Simulating Variability in Cardiac Arrhythmia Research.

Authors:  Haibo Ni; Stefano Morotti; Eleonora Grandi
Journal:  Front Physiol       Date:  2018-07-20       Impact factor: 4.566

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  7 in total

1.  Variability in electrophysiological properties and conducting obstacles controls re-entry risk in heterogeneous ischaemic tissue.

Authors:  Brodie A J Lawson; Rafael S Oliveira; Lucas A Berg; Pedro A A Silva; Kevin Burrage; Rodrigo Weber Dos Santos
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2020-05-25       Impact factor: 4.226

2.  The fickle heart: uncertainty quantification in cardiac and cardiovascular modelling and simulation.

Authors:  Gary R Mirams; Steven A Niederer; Richard H Clayton
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2020-05-25       Impact factor: 4.226

3.  Space-time shape uncertainties in the forward and inverse problem of electrocardiography.

Authors:  Lia Gander; Rolf Krause; Michael Multerer; Simone Pezzuto
Journal:  Int J Numer Method Biomed Eng       Date:  2021-09-08       Impact factor: 2.648

Review 4.  Data integration for the numerical simulation of cardiac electrophysiology.

Authors:  Stefano Pagani; Luca Dede'; Andrea Manzoni; Alfio Quarteroni
Journal:  Pacing Clin Electrophysiol       Date:  2021-03-08       Impact factor: 1.976

5.  Considering discrepancy when calibrating a mechanistic electrophysiology model.

Authors:  Chon Lok Lei; Sanmitra Ghosh; Dominic G Whittaker; Yasser Aboelkassem; Kylie A Beattie; Chris D Cantwell; Tammo Delhaas; Charles Houston; Gustavo Montes Novaes; Alexander V Panfilov; Pras Pathmanathan; Marina Riabiz; Rodrigo Weber Dos Santos; John Walmsley; Keith Worden; Gary R Mirams; Richard D Wilkinson
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2020-05-25       Impact factor: 4.226

6.  EP-PINNs: Cardiac Electrophysiology Characterisation Using Physics-Informed Neural Networks.

Authors:  Clara Herrero Martin; Alon Oved; Rasheda A Chowdhury; Elisabeth Ullmann; Nicholas S Peters; Anil A Bharath; Marta Varela
Journal:  Front Cardiovasc Med       Date:  2022-02-03

7.  An ensemble of parameters from a robust Markov-based model reproduces L-type calcium currents from different human cardiac myocytes.

Authors:  Gustavo Montes Novaes; Enrique Alvarez-Lacalle; Sergio Alonso Muñoz; Rodrigo Weber Dos Santos
Journal:  PLoS One       Date:  2022-04-05       Impact factor: 3.240

  7 in total

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