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Artificial intelligence analysis of ECG signals to predict arrhythmia recurrence after cryoballoon ablation of atrial fibrillation

26 August 2022 (14:15 - 15:00)
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Congress Presentation Part of: Diagnosis, prediction, and mechanism of atrial fibrillation Diagnostic Methods ESC Professional Premium Access ESC Congress 2022

About the speaker

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Doctor Grzegorz Warminski

National Institute of Cardiology in Anin, Warsaw (Poland)

6 More presentations in this session

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Left atrial cardiomyopathy and 10-year risk of Atrial Fibrillation
Doctor T. Uhe (Leipzig, DE)
Abstract Slides
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Intravenous vagal stimulation catheter, JOHAKU, rapidly decreases heart rate and myocardial oxygen consumption without worsening hemodynamics
Doctor S. Yokota (Suita, JP)
Abstract Slides
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Electrocardiogram metrics identify ionic current dysregulation relevant to atrial fibrillation
Mrs A. Dasi (London, GB)
Abstract Slides
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P-wave beat-to-beat analysis to predict atrial fibrillation recurrence after catheter ablation
Doctor D. Tachmatzidis (Thessaloniki, GR)
Abstract Slides
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Electrophysiological insights into left atrial conduction times and regional velocities in atrial fibrillation patients with and without fibrotic atrial cardiomyopathy
Mr E. Heil (Berlin, DE)
Abstract Slides

Access the full session

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Diagnosis, prediction, and mechanism of atrial fibrillation

The Event

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ESC Congress 2022

26 August 2022 14:15 CET
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