Back

Mobile single-lead ECG atrial fibrillation prediction enhancement integrated by standard ECG algorithm with Deep learning model

31 August 2024 (09:30 - 09:40)
Organised by: Logo
Congress Presentation Part of: Innovations in cardiac health prediction: integrating deep learning with multimodal data analysis Electrocardiogram (ECG) and Arrhythmia Analysis ESC Professional Premium Access ESC Congress 2024 European Society of Cardiology

About the speaker

Photo
Associate Professor Ki Hong Lee

Chonnam National University Hospital, Gwangju (Korea (Republic of))

5 More presentations in this session

Presentation thumbnail
ECGWiz: a unified and generalizable AI model for comprehensive ECG diagnosis
Mr I. Vatsaraj (Baltimore, US)
Abstract Slides Video
Presentation thumbnail
Multi-modality deep learning prediction of heart age: insights from UK-Biobank.
Doctor G. Siontis (Bern, CH)
Abstract Slides Video
Presentation thumbnail
Detection and risk stratification of cardiac amyloidosis patients by integration of imaging and non-imaging data using a machine learning approach
Doctor C. Spielvogel (Vienna, AT)
Abstract Slides Video
Presentation thumbnail
Standardization of transthoracic impedance values for estimating heart failure and its utility
Doctor D. Nose (Fukuoka, JP)
Abstract Slides Video
Presentation thumbnail
Machine learning for prediction of incident heart failure and heart failure hospitalisation: multi-cohort development, validation and association with clinical phenotypes
Associate Professor Y. Nakao (Kyoto, JP)
Abstract Slides Video

Access the full session

Session thumbnail
Innovations in cardiac health prediction: integrating deep learning with multimodal data analysis
Video

The Event

Event poster

ESC Congress 2024

31 August 2024 09:30 CET
You may be interested in
thumbnail
Congress Presentation
Prediction of Atrial Fibrillation with Single-Lead Mobile ECG during Normal Sinus Rhythm using Deep Learning
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
Incident atrial fibrillation prediction using ECG-based deep learning at a specialized tertiary cardiac care center

ESC 365 is supported by

novartis Explore sponsored resources
novo-nordisk Explore sponsored resources

ESC 365 is supported by

novartis Explore sponsored resources
novo-nordisk Explore sponsored resources