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Related Experiment Video

Updated: Dec 22, 2025

High-Resolution Endocardial and Epicardial Optical Mapping in a Sheep Model of Stretch-Induced Atrial Fibrillation

High-Resolution Endocardial and Epicardial Optical Mapping in a Sheep Model of Stretch-Induced Atrial Fibrillation

Published on: July 29, 2011

Atrial fibrillation source area probability mapping using electrogram patterns of multipole catheters.

Prasanth Ganesan¹, Elizabeth M Cherry², David T Huang³

¹Department of Computer and Electrical Engineering, Florida Atlantic University, Boca Raton, FL, USA.

Biomedical Engineering Online

|May 7, 2020

Summary

This summary is machine-generated.

A new algorithm, ASAP mapping, accurately locates the source of atrial fibrillation (AF) by analyzing electrograms. This method improves catheter ablation success rates for terminating AF by targeting specific, repeating sources.

Keywords:

Atrial fibrillation Electrogram signal analysis Patient-specific therapy

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Published on: January 31, 2019

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Last Updated: Dec 22, 2025

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Ablation of Ischemic Ventricular Tachycardia Using a Multipolar Catheter and 3-dimensional Mapping System for High-density Electro-anatomical Reconstruction

Ablation of Ischemic Ventricular Tachycardia Using a Multipolar Catheter and 3-dimensional Mapping System for High-density Electro-anatomical Reconstruction

Published on: January 31, 2019

Area of Science:

Cardiovascular Electrophysiology
Medical Device Technology
Computational Biology

Background:

Pulmonary vein isolation is a common treatment for atrial fibrillation (AF).
Standalone PV isolation has suboptimal success rates, with AF recurrence often due to meandering AF sources.
Accurate mapping and localization of these AF sources are needed for effective catheter ablation.

Purpose of the Study:

To develop and evaluate a novel AF source area probability (ASAP) mapping algorithm.
To improve the accuracy of identifying and localizing repeating-pattern AF sources during catheter ablation.

Main Methods:

Developed a novel ASAP mapping algorithm.
Evaluated the algorithm in simulated 2D/3D atrial tissues and three clinical AF cases.
ASAP analyzes electrograms from a multipole catheter to delineate meandering AF source trajectories.

Main Results:

ASAP successfully delineated AF sources in over 95% of simulated cases within eight catheter placements.
Algorithm performance was independent of initial catheter placement.
Clinical cases confirmed ASAP's success through ablation outcomes and electrogram patterns.

Conclusions:

ASAP mapping accurately identifies meandering repeating-pattern AF sources for targeted ablation.
The algorithm has the potential to enhance AF catheter ablation therapy effectiveness.
ASAP can improve patient outcomes by locating patient-specific AF sources.