ReviewMedical & biological engineering & computing2020
Approaches for determining cardiac bidomain conductivity values: progress and challenges.
Review in Medical & biological engineering & computing, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
10 citing papers in PubMed.
- Study of the L-Carnitine Effect on Myocardial Bioelectrical Activity by Microelectrode Arrays and Artificial Intelligence Application.Journal of cardiovascular translational research · 2025Article
- Non-invasive mapping of ventricular action potential waveforms reconstructed from clinical unshielded magnetocardiography. Potential diagnostic application and current limitations.American heart journal plus : cardiology research and practice · 2025Article
- Intelligent in-cell electrophysiology: Reconstructing intracellular action potentials using a physics-informed deep learning model trained on nanoelectrode array recordings.Nature communications · 2025Article
- Progress of Conductivity and Conduction Velocity Measured in Human and Animal Hearts.Reviews in cardiovascular medicine · 2024Review
- A Review of Personalised Cardiac Computational Modelling Using Electroanatomical Mapping Data.Arrhythmia & electrophysiology review · 2024Review
- Utilising Surrogate Models to Approximate Cardiac Potentials when Solving Inverse Problems via Bayesian Techniques.Computing in cardiology · 2022Article
- Confocal microscopy-based estimation of intracellular conductivities in myocardium for modeling of the normal and infarcted heart.Computers in biology and medicine · 2022Article
- Improving the accuracy of retrieved cardiac electrical conductivities.The ANZIAM journal · 2022Article
- A modified approach to determine the six cardiac bidomain conductivities.Computers in biology and medicine · 2021Article
- Etiology-Specific Remodeling in Ventricular Tissue of Heart Failure Patients and Its Implications for Computational Modeling of Electrical Conduction.Frontiers in physiology · 2021Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
Modelling the electrical activity of the heart is an important tool for understanding electrical function in various diseases and conduction disorders. Clearly, for model results to be useful, it is necessary to have accurate inputs for the models, in particular the commonly used bidomain model. However, there are only three sets of four experimentally determined conductivity values for cardiac ventricular tissue and these are inconsistent, were measured around 40 years ago, often produce different results in simulations and do not fully represent the three-dimensional anisotropic nature of cardiac tissue. Despite efforts in the intervening years, difficulties associated with making the measurements and also determining the conductivities from the experimental data have not yet been overcome. In this review, we summarise what is known about the conductivity values, as well as progress to date in meeting the challenges associated with both the mathematical modelling and the experimental techniques. Graphical abstract Epicardial potential distributions, arising from a subendocardial ischaemic region, modelled using conductivity data from the indicated studies.
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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.