ArticlePloS one2015
Detailed Anatomical and Electrophysiological Models of Human Atria and Torso for the Simulation of Atrial Activation.
Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.
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Who cites it
33 citing papers in PubMed.
- The functional impact of myofiber macroscopic organization and disarray in computational models of the murine heart.PLoS computational biology · 2026Article
- A titin truncating variant linked to atrial fibrillation increases atrial profibrotic signalling and cholinergic sensitivity.Cardiovascular research · 2026Article
- An efficient end-to-end computational framework for the generation of ECG calibrated volumetric models of human atrial electrophysiology.Medical image analysis · 2026Article
- Defining myocardial fiber bundle architecture in atrial digital twins.Computers in biology and medicine · 2025Article
- Acute effect of cryoballoon pulmonary vein isolation on the signal-averaged P-wave.Frontiers in cardiovascular medicine · 2025Article
- Tilt-induced changes in f-wave characteristics during atrial fibrillation: an experimental and computational investigation.Frontiers in physiology · 2025Article
- GJA5 and ATP1A1 perturbations recapitulate inflammation-related beat irregularities in iPSC-based atrial myocardium tissue model.Frontiers in immunology · 2025Article
- Article
- Sinoatrial node heterogeneity and fibroblasts increase atrial driving capability in a two-dimensional human computational model.Frontiers in physiology · 2024Article
- Advancing clinical translation of cardiac biomechanics models: a comprehensive review, applications and future pathways.Frontiers in physics · 2023Article
- lifex-fiber: an open tool for myofibers generation in cardiac computational models.BMC bioinformatics · 2023Article
- The frequency of atrial fibrillatory waves is modulated by the spatiotemporal pattern of acetylcholine release: a 3D computational study.Frontiers in physiology · 2023Article
- Characterization of the pace-and-drive capacity of the human sinoatrial node: A 3D in silico study.Biophysical journal · 2022Article
- Cellular heterogeneity and repolarisation across the atria: an in silico study.Medical & biological engineering & computing · 2022Article
- Training machine learning models with synthetic data improves the prediction of ventricular origin in outflow tract ventricular arrhythmias.Frontiers in physiology · 2022Article
- Rule-based definition of muscle bundles in patient-specific models of the left atrium.Frontiers in physiology · 2022Article
- The Effects of Fibrotic Cell Type and Its Density on Atrial Fibrillation Dynamics: An In Silico Study.Cells · 2021Article
- Article
- Arrhythmogenic Effects of Genetic Mutations Affecting Potassium Channels in Human Atrial Fibrillation: A Simulation Study.Frontiers in physiology · 2021Article
- Constructing a Human Atrial Fibre Atlas.Annals of biomedical engineering · 2021Article
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7 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Atrial arrhythmias, and specifically atrial fibrillation (AF), induce rapid and irregular activation patterns that appear on the torso surface as abnormal P-waves in electrocardiograms and body surface potential maps (BSPM). In recent years both P-waves and the BSPM have been used to identify the mechanisms underlying AF, such as localizing ectopic foci or high-frequency rotors. However, the relationship between the activation of the different areas of the atria and the characteristics of the BSPM and P-wave signals are still far from being completely understood. In this work we developed a multi-scale framework, which combines a highly-detailed 3D atrial model and a torso model to study the relationship between atrial activation and surface signals in sinus rhythm. Using this multi scale model, it was revealed that the best places for recording P-waves are the frontal upper right and the frontal and rear left quadrants of the torso. Our results also suggest that only nine regions (of the twenty-one structures in which the atrial surface was divided) make a significant contribution to the BSPM and determine the main P-wave characteristics.
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