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Related Experiment Video

Updated: Apr 18, 2026

High-Resolution Endocardial and Epicardial Optical Mapping in a Sheep Model of Stretch-Induced Atrial Fibrillation
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Signal processing techniques for atrial fibrillation source detection.

Minal Ambadkar, Fabio M Leonelli, Ravi Sankar

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |January 9, 2015
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces signal processing techniques to pinpoint Atrial Fibrillation (AF) sources, aiding catheter ablation by identifying triggers from electrocardiogram and intracardiac signals.

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    Area of Science:

    • Cardiology
    • Biomedical Engineering
    • Signal Processing

    Background:

    • Atrial Fibrillation (AF) is a prevalent cardiac arrhythmia requiring effective treatment.
    • Catheter ablation is a curative option for AF, necessitating precise identification of arrhythmogenic sources.
    • Accurate localization of AF triggers is crucial for successful ablation procedures.

    Purpose of the Study:

    • To propose novel signal processing techniques for AF signal characterization, analysis, and source detection.
    • To enhance the precision of identifying AF origins for improved catheter ablation outcomes.
    • To leverage ECG and intracardiac signals for comprehensive cardiac analysis.

    Main Methods:

    • Development and implementation of advanced signal processing algorithms.
    • Application of techniques to analyze Electrocardiogram (ECG) signals.
    • Utilizing intracardiac electrograms for detailed cardiac signal investigation.

    Main Results:

    • Demonstrated efficacy of proposed signal processing methods in characterizing AF signals.
    • Successful identification of AF signal sources using implemented algorithms.
    • Analysis provided insights into the anatomic and physiologic aspects of cardiac muscle relevant to AF.

    Conclusions:

    • Signal processing techniques are effective tools for AF source detection.
    • The proposed methods can significantly aid cardiologists in performing precise catheter ablations.
    • This approach offers a robust framework for analyzing cardiac electrograms in AF patients.