ArticleFrontiers in physiology2018
Reducing Error in ECG Forward Simulations With Improved Source Sampling.
Article in Frontiers in physiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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, 1 synthesis or guideline pooled it.
- Systematic review of computational techniques, dataset utilization, and feature extraction in electrocardiographic imaging.Medical & biological engineering & computing · 2025Pooled it
- A Review of the Forward Problem in Electrocardiographic Imaging.Journal of imaging · 2026Review
- Tipping the scales of understanding: An engineering approach to design and implement whole-body cardiac electrophysiology experimental models.Frontiers in physiology · 2023Article
- The electrocardiographic forward problem: A benchmark study.Computers in biology and medicine · 2021Article
- Electrocardiographic Imaging: A Comparison of Iterative Solvers.Frontiers in physiology · 2021Article
- A Unified Pipeline for ECG Imaging Testing.Computing in cardiology · 2019Article
- GRÖMeR: A Pipeline for Geodesic Refinement of Mesh Registration.Functional imaging and modeling of the heart : ... International Workshop, FIMH ..., proceedings. FIMH (Conference) · 2019Article
- Correcting Undersampled Cardiac Sources in Equivalent Double Layer Forward Simulations.Functional imaging and modeling of the heart : ... International Workshop, FIMH ..., proceedings. FIMH (Conference) · 2019Article
- Optimizing the Reconstruction of Cardiac Potentials Using a Novel High Resolution Pericardiac Cage.Computing in cardiology · 2019Article
- Effects of Heart Rate and Ventricular Wall Thickness on Non-invasive Mapping: AnFrontiers in physiology · 2019Article
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
A continuing challenge in validating electrocardiographic imaging (ECGI) is the persistent error in the associated forward problem observed in experimental studies. One possible cause of this error is insufficient representation of the cardiac sources; cardiac source measurements often sample only the ventricular epicardium, ignoring the endocardium and the atria. We hypothesize that measurements that completely cover the pericardial surface are required for accurate forward solutions. In this study, we used simulated and measured cardiac potentials to test the effect of different levels of spatial source sampling on the forward simulation. Not surprisingly, increasing the source sampling over the atria reduced the average error of the forward simulations, but some sampling strategies were more effective than others. Uniform and random distributions of samples across the atrial surface were the most efficient strategies in terms of lowest error with the fewest sampling locations, whereas "single direction" strategies,
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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.