Back

Predicting 1-year atrial fibrillation risk from a patch-based ambulatory ECG monitoring without atrial fibrillation

30 August 2024 (11:25 - 11:35)
Organised by: Logo
Congress Presentation Part of: New insights from the ECG: screening and prediction Diagnostic Methods ESC Professional Premium Access ESC Congress 2024 European Society of Cardiology

About the speaker

Photo
Doctor Evangelos Hytopoulos

(United States of America)

5 More presentations in this session

Presentation thumbnail
The impact of QRS complex fragmentation status before and after cardiac resynchronization therapy with defibrillator implantation: Is it a predictor of arrhythmic events?
Doctor L. De Miguel (Madrid, ES)
Abstract Slides Video
Presentation thumbnail
Predicting atrial fibrillation from ECG characteristics
Doctor C. Binding (Copenhagen, DK)
Abstract Slides Video
Presentation thumbnail
Utilizing unsupervised machine learning to uncover novel phenogroups within the broad QRS complex
Miss M. Gurnani (London, GB)
Abstract Slides Video
Presentation thumbnail
ECG as a screening tool for detection of significant functional mitral regurgitation in patients with left bundle branch block
Doctor O. Andrei (Bucharest, RO)
Abstract Slides Video
Presentation thumbnail
Clinical validation of the 2021 European Society of Cardiology guidelines on pre-existing right bundle branch block patients undergoing transcatheter aortic valve replacement
Mr M. Salis (Basel, CH)
Abstract Slides Video

Access the full session

Session thumbnail
New insights from the ECG: screening and prediction
Video

The Event

Event poster

ESC Congress 2024

30 August 2024 11:25 CET
You may be interested in
thumbnail
Congress Presentation
Mobile single-lead ECG atrial fibrillation prediction enhancement integrated by standard ECG algorithm with Deep learning model
thumbnail
Congress Presentation
Leveraging deep learning for detecting atrial fibrillation and flutter and predicting thromboembolic events from images of 12-lead electrocardiograms in sinus rhythm
thumbnail
Congress Presentation
Short-term prediction of atrial fibrillation from ambulatory monitoring ECG using a deep neural network

ESC 365 is supported by

novartis Explore sponsored resources

ESC 365 is supported by

novartis Explore sponsored resources