Journal article
Integrated heart - coupled multiscale and multiphysics models for the simulation of the cardiac function
- Abstract:
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Mathematical modelling of the human heart and its function can expand our understanding of various cardiac diseases, which remain the most common cause of death in the developed world. Like other physiological systems, the heart can be understood as a complex multiscale system involving interacting phenomena at the molecular, cellular, tissue, and organ levels. This article addresses the numerical modelling of many aspects of heart function, including the interaction of the cardiac electrophysiology system with contractile muscle tissue, the sub-cellular activation-contraction mechanisms, as well as the hemodynamics inside the heart chambers. Resolution of each of these sub-systems requires separate mathematical analysis and specially developed numerical algorithms, which we review in detail. By using specific sub-systems as examples, we also look at systemic stability, and explain for example how physiological concepts such as microscopic force generation in cardiac muscle cells, translate to coupled systems of differential equations, and how their stability properties influence the choice of numerical coupling algorithms. Several numerical examples illustrate three fundamental challenges of developing multiphysics and multiscale numerical models for simulating heart function, namely: (i) the correct upscaling from single-cell models to the entire cardiac muscle, (ii) the proper coupling of electrophysiology and tissue mechanics to simulate electromechanical feedback, and (iii) the stable simulation of ventricular hemodynamics during rapid valve opening and closure.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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- Files:
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(Preview, Accepted manuscript, pdf, 7.4MB, Terms of use)
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- Publisher copy:
- 10.1016/j.cma.2016.05.031
Authors
- Publisher:
- Elsevier
- Journal:
- Computer Methods in Applied Mechanics and Engineering More from this journal
- Volume:
- 314
- Pages:
- 345–407
- Publication date:
- 2016-01-01
- Acceptance date:
- 2016-05-27
- DOI:
- EISSN:
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1879-2138
- ISSN:
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0045-7825
- Keywords:
- Pubs id:
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pubs:626332
- UUID:
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uuid:7674629c-03f3-4d64-ba18-7774c26f5ca2
- Local pid:
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pubs:626332
- Source identifiers:
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626332
- Deposit date:
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2016-06-07
- ARK identifier:
Terms of use
- Copyright holder:
- Elsevier BV
- Copyright date:
- 2016
- Notes:
- Copyright © 2016 Elsevier B.V. This is the accepted manuscript version of the article. The final version is available online from Elsevier at: https://doi.org/10.1016/j.cma.2016.05.031
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