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Updated: Apr 30, 2026

High-Resolution Endocardial and Epicardial Optical Mapping in a Sheep Model of Stretch-Induced Atrial Fibrillation
Published on: July 29, 2011
A preliminary study on atrial epicardial mapping signals based on Graph Theory
Liqian Sun1, Cuiwei Yang1, Lin Zhang1
1Department of Electronic Engineering, Fudan University, Shanghai 200433, China.
Graph Theory reveals how atrial fibrillation disrupts heart rhythm connectivity. This study analyzed electrograms, showing varying graph parameters between normal sinus rhythm and atrial fibrillation, offering new spatial insights.
Area of Science:
- Cardiology
- Computational Biology
- Medical Imaging
Background:
- Atrial fibrillation (AF) is a complex arrhythmia with poorly understood spatial dynamics.
- Current methods for analyzing AF often lack detailed spatial resolution of atrial interactions.
Purpose of the Study:
- To introduce and validate a novel Graph Theory-based method for analyzing atrial electrogram data.
- To investigate the spatial relationships and connectivity patterns within the atria during normal sinus rhythm and induced atrial fibrillation.
Main Methods:
- Collected epicardial electrograms from eight dogs using 95 unipolar electrodes during sinus rhythm and a cholinergic AF model.
- Applied Graph Theory to analyze electrode correlations, studying graph topology, connectivity, and parameters.
- Compared graph characteristics between sinus rhythm and atrial fibrillation states.
Main Results:
- Significant variations in graph connectivity were observed between sinus rhythm and atrial fibrillation.
- Identified parameter gradients across different regions of the atria during atrial fibrillation.
- Demonstrated that Graph Theory can reveal spatial insights into atrial interactions.
Conclusions:
- The proposed Graph Theory method effectively visualizes spatial dynamics in atrial electrograms.
- Findings suggest altered inter-atrial connectivity is a key feature of atrial fibrillation.
- This approach holds potential for advancing the study and understanding of atrial fibrillation.
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