Drivers in AF colocate to sites of electrogram organization and rapidity: Potential synergy between spectral analysis and STAR mapping approaches in prioritizing drivers for ablation
Author:
Affiliation:
1. Barts Heart CentreBarts Health NHS Trust London United Kingdom
2. QUML
Funder
British Heart Foundation
Publisher
Wiley
Subject
Physiology (medical),Cardiology and Cardiovascular Medicine
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1111/jce.14456
Reference30 articles.
1. Characterization of drivers maintaining atrial fibrillation: Correlation with markers of rapidity and organization on spectral analysis
2. Spatiotemporal Behavior of High Dominant Frequency During Paroxysmal and Persistent Atrial Fibrillation in the Human Left Atrium
3. Spatial relationship between high-dominant-frequency sites and the linear ablation line in persistent atrial fibrillation: its impact on complex fractionated electrograms
4. Frequency Analysis in Different Types of Paroxysmal Atrial Fibrillation
5. Spectral Analysis Identifies Sites of High-Frequency Activity Maintaining Atrial Fibrillation in Humans
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1. Coronary sinus electrogram characteristics predict termination of AF with ablation and long‐term clinical outcome;Journal of Cardiovascular Electrophysiology;2022-07-28
2. Cycle Length Evaluation in Persistent Atrial Fibrillation Using Kernel Density Estimation to Identify Transient and Stable Rapid Atrial Activity;Cardiovascular Engineering and Technology;2021-08-27
3. Unsupervised Classification of Atrial Electrograms for Electroanatomic Mapping of Human Persistent Atrial Fibrillation;IEEE Transactions on Biomedical Engineering;2021-04
4. Towards the definition of selective markers for atrial fibrillation ablation targets: Robustness, complementarity, and integration of features as guiding principles;Journal of Cardiovascular Electrophysiology;2020-07-16
5. An Uncertainty Modeling Framework for Intracardiac Electrogram Analysis;Bioengineering;2020-06-26
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