ArticlePloS one2014
Simulation Methods and Validation Criteria for Modeling Cardiac Ventricular Electrophysiology.
Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
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Who cites it
26 citing papers in PubMed.
- Learning cardiac activation and repolarization times with operator learning.PLoS computational biology · 2026Article
- Article
- Tensor cardiography: A novel ECG analysis of deviations in collective myocardial action potential transitions based on point processes and cumulative distribution functions.PLOS digital health · 2024Article
- The electrical restitution of the non-propagated cardiac ventricular action potential.Pflugers Archiv : European journal of physiology · 2024Review
- Enhanced optimization-based method for the generation of patient-specific models of Purkinje networks.Scientific reports · 2023Article
- A computational model of rabbit geometry and ECG: Optimizing ventricular activation sequence and APD distribution.PloS one · 2022Article
- Gap Junctional Communication via Connexin43 between Purkinje Fibers and Working Myocytes Explains the Epicardial Activation Pattern in the Postnatal Mouse Left Ventricle.International journal of molecular sciences · 2021Article
- Sex Differences in Drug-Induced Arrhythmogenesis.Frontiers in physiology · 2021Article
- Considering discrepancy when calibrating a mechanistic electrophysiology model.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2020Article
- Granulocyte colony-stimulating factor attenuates myocardial remodeling and ventricular arrhythmia susceptibility via the JAK2-STAT3 pathway in a rabbit model of coronary microembolization.BMC cardiovascular disorders · 2020Article
- Model of Left Ventricular Contraction: Validation Criteria and Boundary Conditions.Functional imaging and modeling of the heart : ... International Workshop, FIMH ..., proceedings. FIMH (Conference) · 2019Article
- Machine learning in drug development: Characterizing the effect of 30 drugs on the QT interval using Gaussian process regression, sensitivity analysis, and uncertainty quantification.Computer methods in applied mechanics and engineering · 2019Article
- A demonstration of modularity, reuse, reproducibility, portability and scalability for modeling and simulation of cardiac electrophysiology using Kepler Workflows.PLoS computational biology · 2019Article
- Comprehensive Uncertainty Quantification and Sensitivity Analysis for Cardiac Action Potential Models.Frontiers in physiology · 2019Article
- Microstructural Infarct Border Zone Remodeling in the Post-infarct Swine Heart Measured by Diffusion Tensor MRI.Frontiers in physiology · 2018Article
- Validation and Trustworthiness of Multiscale Models of Cardiac Electrophysiology.Frontiers in physiology · 2018Review
- Method for the unique identification of hyperelastic material properties using full-field measures. Application to the passive myocardium material response.International journal for numerical methods in biomedical engineering · 2017Article
- Incorporating inductances in tissue-scale models of cardiac electrophysiology.Chaos (Woodbury, N.Y.) · 2017Article
- Stochastic spontaneous calcium release events and sodium channelopathies promote ventricular arrhythmias.Chaos (Woodbury, N.Y.) · 2017Article
- A viscoactive constitutive modeling framework with variational updates for the myocardium.Computer methods in applied mechanics and engineering · 2017Article
Corrections and comments
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Authors and funding
11 authors.
Funding
Abstract
We describe a sequence of methods to produce a partial differential equation model of the electrical activation of the ventricles. In our framework, we incorporate the anatomy and cardiac microstructure obtained from magnetic resonance imaging and diffusion tensor imaging of a New Zealand White rabbit, the Purkinje structure and the Purkinje-muscle junctions, and an electrophysiologically accurate model of the ventricular myocytes and tissue, which includes transmural and apex-to-base gradients of action potential characteristics. We solve the electrophysiology governing equations using the finite element method and compute both a 6-lead precordial electrocardiogram (ECG) and the activation wavefronts over time. We are particularly concerned with the validation of the various methods used in our model and, in this regard, propose a series of validation criteria that we consider essential. These include producing a physiologically accurate ECG, a correct ventricular activation sequence, and the inducibility of ventricular fibrillation. Among other components, we conclude that a Purkinje geometry with a high density of Purkinje muscle junctions covering the right and left ventricular endocardial surfaces as well as transmural and apex-to-base gradients in action potential characteristics are necessary to produce ECGs and time activation plots that agree with physiological observations.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.