Automatic Localization of Stable Highest Dominant Frequency Area in AF Patients Based on Spatial Aggregation
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Updated: May 28, 2026
High-Resolution Endocardial and Epicardial Optical Mapping in a Sheep Model of Stretch-Induced Atrial Fibrillation
Published on: July 29, 2011
Tao Huang1, Yihang Jiang1, Xiaomei Wu1,2,3,4
1College of Biomedical Engineering, Fudan University, Shanghai 200433, China.
Background:
Atrial electrical activity in patients with persistent atrial fibrillation (PeAF) is extremely complex, and identifying optimal ablation targets during ablation procedures remains a significant challenge. This manuscript aims to identify spatiotemporally stable highest dominant frequency (HDF) in the left atrium to provide a reliable basis for Electrophysiologists to locate ablation targets beyond pulmonary veins.
Methods:
Filtering and spectral estimation were performed on the left atrial intracardiac electrogram (LA-EGM) of PeAF patients to recognize the dominant frequency (DF). Spatiotemporally stable DF features within the left atrium were extracted using spatial aggregation and others to construct a 3D DF distribution model. HDF areas were automatically identified based on personalized thresholds derived from the patient's DF distribution.
Results:
Data analysis of 43 PeAF patients demonstrated that spatial aggregation with 2 mm voxel size accurately constructs spatiotemporally stable DF distribution models. The proposed DF model enables the automatic identification of stable HDF areas in PeAF patients. In retrospective clinical cases, 72.1% of patients underwent ablation at these identified sites with effective therapeutic outcomes.
Conclusion:
Recurring HDF areas during PeAF serve as potential ablation targets. The results of this study provide a reliable basis for determining personalized ablation targets for PeAF patients.
