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Related Experiment Video

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Estimating Bilateral Atrial Function by Cardiovascular Magnetic Resonance Feature Tracking in Patients with Paroxysmal Atrial Fibrillation
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An algorithm for rotor tracking in atrial fibrillation using graph search-based periodic peak detection.

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    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
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    This study introduces a new method to detect rotors, the rotating electrical waves sustaining atrial fibrillation (AF). The technique accurately identifies these critical targets for catheter ablation therapy in AF patients.

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    Area of Science:

    • Cardiac Electrophysiology
    • Medical Device Technology
    • Signal Processing

    Background:

    • Rotors are identified as key drivers of atrial fibrillation (AF), a common cardiac arrhythmia.
    • Identifying these rotors is crucial for targeted catheter ablation therapies.
    • Current methods for rotor detection from intracardiac electrograms (EGI) have limitations.

    Purpose of the Study:

    • To develop and validate a novel method for identifying cardiac rotors using bipolar electrograms.
    • To assess the accuracy of the proposed method in simulated noisy atrial fibrillation (AF) data.
    • To provide a tool for guiding rotor ablation in clinical practice.

    Main Methods:

    • Utilized dominant frequency-based periodicity detection to identify dominant activations in bipolar electrograms.
    • Employed a graph search algorithm to pinpoint peaks of interest across a circular catheter array.
    • Tracked activation patterns across catheter bipoles to confirm rotational characteristics indicative of rotors.

    Main Results:

    • The proposed method demonstrated high accuracy in detecting simulated rotors.
    • Achieved up to 98% sensitivity and 100% specificity in identifying rotor activations.
    • Successfully distinguished rotor signals from noise and complex aperiodic features.

    Conclusions:

    • The developed method effectively identifies cardiac rotors from bipolar electrograms.
    • This technique shows significant potential for guiding catheter ablation in atrial fibrillation (AF) patients.
    • Accurate rotor identification can improve the efficacy of AF treatment.