ArticleIEEE transactions on bio-medical engineering2011
Representing cardiac bidomain bath-loading effects by an augmented monodomain approach: application to complex ventricular models.
Article in IEEE transactions on bio-medical engineering, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.
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Who cites it
39 citing papers in PubMed.
- An efficient end-to-end computational framework for the generation of ECG calibrated volumetric models of human atrial electrophysiology.Medical image analysis · 2026Article
- Current trends in virtual electrophysiology use for risk stratification and treatment of ventricular arrhythmias.Frontiers in cardiovascular medicine · 2025Review
- Computational modeling of cardiac electrophysiology and arrhythmogenesis: toward clinical translation.Physiological reviews · 2024Review
- Impact of electrode orientation, myocardial wall thickness, and myofiber direction on intracardiac electrograms: numerical modeling and analytical solutions.Frontiers in physiology · 2023Article
- Credibility assessment of patient-specific computational modeling using patient-specific cardiac modeling as an exemplar.PLoS computational biology · 2022Article
- An automated near-real time computational method for induction and treatment of scar-related ventricular tachycardias.Medical image analysis · 2022Article
- Modelling the interaction between stem cells derived cardiomyocytes patches and host myocardium to aid non-arrhythmic engineered heart tissue design.PLoS computational biology · 2022Article
- A Review of Healthy and Fibrotic Myocardium Microstructure Modeling and Corresponding Intracardiac Electrograms.Frontiers in physiology · 2022Review
- A personalized real-time virtual model of whole heart electrophysiology.Frontiers in physiology · 2022Article
- Whole-heart ventricular arrhythmia modeling moving forward: Mechanistic insights and translational applications.Biophysics reviews · 2021Article
- Using Machine Learning to Characterize Atrial Fibrotic Substrate From Intracardiac Signals With a HybridFrontiers in physiology · 2021Article
- Parameter variations in personalized electrophysiological models of human heart ventricles.PloS one · 2021Article
- Factors Promoting Conduction Slowing as Substrates for Block and Reentry in Infarcted Hearts.Biophysical journal · 2019Article
- Characterizing the clinical implementation of a novel activation-repolarization metric to identify targets for catheter ablation of ventricular tachycardias using computational models.Computers in biology and medicine · 2019Article
- A technique for measuring anisotropy in atrial conduction to estimate conduction velocity and atrial fibre direction.Computers in biology and medicine · 2019Article
- Reducing Error in ECG Forward Simulations With Improved Source Sampling.Frontiers in physiology · 2018Article
- Muscle Thickness and Curvature Influence Atrial Conduction Velocities.Frontiers in physiology · 2018Article
- Efficient computation of electrograms and ECGs in human whole heart simulations using a reaction-eikonal model.Journal of computational physics · 2017Article
- Stochastic spontaneous calcium release events and sodium channelopathies promote ventricular arrhythmias.Chaos (Woodbury, N.Y.) · 2017Article
- Highly trabeculated structure of the human endocardium underlies asymmetrical response to low-energy monophasic shocks.Chaos (Woodbury, N.Y.) · 2017Article
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2 authors.
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Abstract
Although the cardiac bidomain model has been widely used in the simulation of electrical activation, its relatively computationally expensive nature means that monodomain approaches are generally required for long-duration simulations (for example, investigations of arrhythmia mechanisms). However, the presence of a conducting bath surrounding the tissue is known to induce wavefront curvature (surface leading bulk), a phenomena absent in standard monodomain approaches. Here, we investigate the biophysical origin of the bidomain bath-loading induced wavefront curvature and present a novel augmented monodomain-equivalent bidomain approach faithfully replicating all aspects of bidomain wavefront morphology and conduction velocity, but with a fraction of the computational cost. Bath-loading effects are shown to be highly dependent upon specific conductivity parameters, but less dependent upon the thickness or conductivity of the surrounding bath, with even relatively thin surrounding fluid layers (~ 0.1 mm) producing significant wavefront curvature in bidomain simulations. We demonstrate that our augmented monodomain approach can be easily adapted for different conductivity sets and applied to anatomically complex models, thus facilitating fast and accurate simulation of cardiac wavefront dynamics during long-duration simulations, further aiding the faithful comparison of simulations with experiments.
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