ArticleFrontiers in physiology2021
Deriving the Bidomain Model of Cardiac Electrophysiology From a Cell-Based Model; Properties and Comparisons.
Article in Frontiers in physiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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11 citing papers in PubMed, 29 citations in OpenAlex.
- Determining properties of human-induced pluripotent stem cell-derived cardiomyocytes using spatially resolved electromechanical metrics.The Journal of physiology · 2026Article
- In silico modelling of multi-electrode arrays for enhancing cardiac drug testing on hiPSC-CM heterogeneous tissues.The Journal of physiology · 2026Article
- Sometimes extracellular recordings fail for good reasons.NPJ systems biology and applications · 2026Article
- Deep conditional generative model for personalization of 12-lead electrocardiograms and cardiovascular risk prediction.Frontiers in digital health · 2025Article
- A possible path to persistent re-entry waves at the outlet of the left pulmonary vein.NPJ systems biology and applications · 2024Article
- Evaluating computational efforts and physiological resolution of mathematical models of cardiac tissue.Scientific reports · 2024Article
- Modeling the Electrical Activity of the Heart via Transfer Functions and Genetic Algorithms.Biomimetics (Basel, Switzerland) · 2024Article
- Article
- Efficient, cell-based simulations of cardiac electrophysiology; The Kirchhoff Network Model (KNM).NPJ systems biology and applications · 2023Article
- Nano-scale solution of the Poisson-Nernst-Planck (PNP) equations in a fraction of two neighboring cells reveals the magnitude of intercellular electrochemical waves.PLoS computational biology · 2023Article
- Arrhythmogenic influence of mutations in a myocyte-based computational model of the pulmonary vein sleeve.Scientific reports · 2022Article
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2 authors at 2 institutions in 1 country.
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Abstract
The bidomain model is considered to be the gold standard for numerical simulation of the electrophysiology of cardiac tissue. The model provides important insights into the conduction properties of the electrochemical wave traversing the cardiac muscle in every heartbeat. However, in normal resolution, the model represents the average over a large number of cardiomyocytes, and more accurate models based on representations of all individual cells have therefore been introduced in order to gain insight into the conduction properties close to the myocytes. The more accurate model considered here is referred to as the EMI model since both the extracellular space (E), the cell membrane (M) and the intracellular space (I) are explicitly represented in the model. Here, we show that the bidomain model can be derived from the cell-based EMI model and we thus reveal the close relation between the two models, and obtain an indication of the error introduced in the approximation. Also, we present numerical simulations comparing the results of the two models and thereby highlight both similarities and differences between the models. We observe that the deviations between the solutions of the models become larger for larger cell sizes. Furthermore, we observe that the bidomain model provides solutions that are very similar to the EMI model when conductive properties of the tissue are in the normal range, but large deviations are present when the resistance between cardiomyocytes is increased.
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