ArticleJournal of electrocardiology
Image-based modeling of acute myocardial ischemia using experimentally derived ischemic zone source representations.
Article in Journal of electrocardiology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Comparison of dipole-based and potential-based ECGI methods for premature ventricular contraction beat localization with clinical data.Frontiers in physiology · 2023Article
- 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
- A proximal right coronary artery occlusion presenting with ST-segment depression in leads II, III, and aVF.Anatolian journal of cardiology · 2020Article
- Characterizing the transient electrocardiographic signature of ischemic stress using Laplacian Eigenmaps for dimensionality reduction.Computers in biology and medicine · 2020Article
- Experimental Validation of a Novel Extracellular-Based Source Representation of Acute Myocardial Ischemia.Computing in cardiology · 2020Article
- Novel experimental model for studying the spatiotemporal electrical signature of acute myocardial ischemia: a translational platform.Physiological measurement · 2020Article
- Experimental Validation of Image-Based Modeling of Torso Surface Potentials During Acute Myocardial Ischemia.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
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
backgroundComputational models of myocardial ischemia often use oversimplified ischemic source representations to simulate epicardial potentials. The purpose of this study was to explore the influence of biophysically justified, subject-specific ischemic zone representations on epicardial potentials.
methodsWe developed and implemented an image-based simulation pipeline, using intramural recordings from a canine experimental model to define subject-specific ischemic regions within the heart. Static epicardial potential distributions, reflective of ST segment deviations, were simulated and validated against measured epicardial recordings.
resultsSimulated epicardial potential distributions showed strong statistical correlation and visual agreement with measured epicardial potentials. Additionally, we identified and described in what way border zone parameters influence epicardial potential distributions during the ST segment.
conclusionFrom image-based simulations of myocardial ischemia, we generated subject-specific ischemic sources that accurately replicated epicardial potential distributions. Such models are essential in understanding the underlying mechanisms of the bioelectric fields that arise during ischemia and are the basis for more sophisticated simulations of body surface ECGs.
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