ArticlePhilosophical transactions. Series A, Mathematical, physical, and engineering sciences2011
Verification of cardiac tissue electrophysiology simulators using an N-version benchmark.
Article in Philosophical transactions. Series A, Mathematical, physical, and engineering sciences, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 107 papers.
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Who cites it
107 citing papers in PubMed.
- Multiscale Electrophysiological Remodeling in Ischemic Heart Failure: Simulation Analysis of Ventricular Ectopic Activation.Biomedicines · 2026Article
- In silico predictions of action potential propagation in doxorubicin cardiotoxicity: A parametric study using preclinical 3D magnetic resonance imaging-based fibrotic left ventricle models.The Journal of physiology · 2026Article
- Cardiac digital twins: Modelling the arrhythmic substrate of chemotherapy.The Journal of physiology · 2026Article
- Can in silico models predict drug-induced cardiac risk in vulnerable populations?Toxicology reports · 2026Article
- Universality in peristaltic locomotion: Linking biology, theory, and simulation.Science advances · 2026Article
- Toward cardiac electrophysiology digital twins with an efficient open source scalable solver on GPU clusters.Scientific reports · 2026Article
- Stochastic virtual heart model predictions.Nature cardiovascular research · 2025Article
- Numerical accuracy of closed-loop steady state in a zero-dimensional cardiovascular model.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2025Article
- Credibility assessment of in silico clinical trials for medical devices.PLoS computational biology · 2024Review
- Evaluating computational efforts and physiological resolution of mathematical models of cardiac tissue.Scientific reports · 2024Article
- Digital twinning of cardiac electrophysiology for congenital heart disease.Journal of the Royal Society, Interface · 2024Article
- Effects of cardiac growth on electrical dyssynchrony in the single ventricle patient.Computer methods in biomechanics and biomedical engineering · 2024Article
- The Ithildin library for efficient numerical solution of anisotropic reaction-diffusion problems in excitable media.PloS one · 2024Article
- Transmural APD heterogeneity determines ventricular arrhythmogenesis in LQT8 syndrome: Insights from Bidomain computational modeling.PloS one · 2024Article
- Re-entry in models of cardiac ventricular tissue with scar represented as a Gaussian random field.Frontiers in physiology · 2024Article
- Constructing bilayer and volumetric atrial models at scale.Interface focus · 2023Article
- Studying the Influence of Finite Element Mesh Size on the Accuracy of Ventricular Tachycardia Simulation.Reviews in cardiovascular medicine · 2023Article
- lifex-ep: a robust and efficient software for cardiac electrophysiology simulations.BMC bioinformatics · 2023Article
- Evaluation of an open-source pipeline to create patient-specific left atrial models: A reproducibility study.Computers in biology and medicine · 2023Article
- Optogenetic Modulation of Arrhythmia Triggers: Proof-of-Concept from Computational Modeling.Cellular and molecular bioengineering · 2023Article
47 more citing papers are in PubMed but not listed here.
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Authors and funding
21 authors.
Funding
Abstract
Ongoing developments in cardiac modelling have resulted, in particular, in the development of advanced and increasingly complex computational frameworks for simulating cardiac tissue electrophysiology. The goal of these simulations is often to represent the detailed physiology and pathologies of the heart using codes that exploit the computational potential of high-performance computing architectures. These developments have rapidly progressed the simulation capacity of cardiac virtual physiological human style models; however, they have also made it increasingly challenging to verify that a given code provides a faithful representation of the purported governing equations and corresponding solution techniques. This study provides the first cardiac tissue electrophysiology simulation benchmark to allow these codes to be verified. The benchmark was successfully evaluated on 11 simulation platforms to generate a consensus gold-standard converged solution. The benchmark definition in combination with the gold-standard solution can now be used to verify new simulation codes and numerical methods in the future.
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