Back

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

26 August 2022 (08:00 - 19:30)
Organised by:
Congress Presentation Part of: Diagnosis, prediction, and mechanism of atrial fibrillation Diagnostic Methods ESC Professional Premium Access ESC Congress 2022

About the speaker

Photo
Doctor Grzegorz Warminski

National Institute of Cardiology in Anin, Warsaw (Poland)

6 More presentations in this session

Presentation thumbnail
Left atrial cardiomyopathy and 10-year risk of Atrial Fibrillation
Doctor T. Uhe (Leipzig, DE)
Abstract Slides
Presentation thumbnail
Intravenous vagal stimulation catheter, JOHAKU, rapidly decreases heart rate and myocardial oxygen consumption without worsening hemodynamics
Doctor S. Yokota (Suita, JP)
Abstract Slides
Presentation thumbnail
Electrocardiogram metrics identify ionic current dysregulation relevant to atrial fibrillation
Mrs A. Dasi (London, GB)
Abstract Slides
Presentation thumbnail
P-wave beat-to-beat analysis to predict atrial fibrillation recurrence after catheter ablation
Doctor D. Tachmatzidis (Thessaloniki, GR)
Abstract Slides
Presentation thumbnail
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

Session thumbnail
Diagnosis, prediction, and mechanism of atrial fibrillation

The Event

Event poster

ESC Congress 2022

26 August - 29 August 2022
You may be interested in
thumbnail
Congress Presentation
Interactive discussion and Q&A
thumbnail
Congress Session
EHRA Myths - Device-detected atrial fibrillation
thumbnail
Congress Presentation
Device-detected or clinically diagnosed atrial fibrillation: the same decision for oral anticoagulation therapy - discussion

ESC 365 is supported by

novartis Explore sponsored resources

ESC 365 is supported by

novartis Explore sponsored resources