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An audit of uncertainty in multi-scale cardiac electrophysiology models.
Clayton, Richard H; Aboelkassem, Yasser; Cantwell, Chris D; Corrado, Cesare; Delhaas, Tammo; Huberts, Wouter; Lei, Chon Lok; Ni, Haibo; Panfilov, Alexander V; Roney, Caroline; Dos Santos, Rodrigo Weber.
Afiliação
  • Clayton RH; Insigneo institute for in-silico Medicine and Department of Computer Science, University of Sheffield, Sheffield, UK.
  • Aboelkassem Y; Department of Bioengineering, University of California, San Diego, CA, USA.
  • Cantwell CD; Department of Aeronautics, Imperial College London, London, UK.
  • Corrado C; Division of Imaging Sciences and Biomedical Engineering, King's College London, London, UK.
  • Delhaas T; School of Cardiovascular Diseases, Maastricht University, Maastricht, The Netherlands.
  • Huberts W; School of Cardiovascular Diseases, Maastricht University, Maastricht, The Netherlands.
  • Lei CL; Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands.
  • Ni H; Computational Biology and Health Informatics, Department of Computer Science, University of Oxford, Oxford, UK.
  • Panfilov AV; Department of Pharmacology, University of California, Davis, CA, USA.
  • Roney C; Department of Physics and Astronomy, University of Gent, Gent, Belgium.
  • Dos Santos RW; Laboratory of Computational Biology and Medicine, Ural Federal University, Ekaterinburg, Russia.
Philos Trans A Math Phys Eng Sci ; 378(2173): 20190335, 2020 Jun 12.
Article em En | MEDLINE | ID: mdl-32448070
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'.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Incerteza / Fenômenos Eletrofisiológicos / Coração / Modelos Cardiovasculares Tipo de estudo: Guideline / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Incerteza / Fenômenos Eletrofisiológicos / Coração / Modelos Cardiovasculares Tipo de estudo: Guideline / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article