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Prediction of Atrial Fibrillation with Single-Lead Mobile ECG during Normal Sinus Rhythm using Deep Learning

7 April 2024 (08:30 - 15:00)
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Congress Presentation Part of: eCardiology Artificial Intelligence EHRA Premium Access EHRA 2024 European Heart Rhythm Association (EHRA)

About the speaker

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Associate Professor Ki Hong Lee

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

6 More presentations in this session

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Polygenic risk score for Atrial Fibrillation as a predictor for the incidence of Sick Sinus Syndrome: A comprehensive analysis from the UK biobank.
Doctor H. Kim (Ulsan, KR)
Abstract Slides
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Machine-learning guided differentiation between photoplethysmography waveforms of supraventricular and ventricular origin
Professor D. Linz (Maastricht, NL)
Abstract Slides Video
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Association between amount of biventricular pacing and heart failure status measured by a multisensor implantable defibrillator algorithm.
Doctor L. Santini (Rome, IT)
Abstract Slides Video
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Surgical treatment for obstructive sleep apnea prevents arrhythmic events: a nationwide population-based study
Doctor L. Jung (Jeonju, KR)
Abstract Slides Video
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Development and validation of a machine learning-based prediction model for sudden cardiac death in the general population: insights from the community cardiovascular cohort
Assistant Professor Y. Chen (Taichung, TW)
Abstract Slides Video

Access the full session

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eCardiology
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The Event

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EHRA 2024

7 April - 9 April 2024
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ESC 365 is supported by

novartis Explore sponsored resources