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Machine Learning Approaches to ECG Interpretation: State of the Art

Event: ESC CONGRESS 2020 - The Digital Experience
Topic: Electrocardiogram (ECG) and Arrhythmia Analysis
Session type: Advances in Science
Date: 29 August 2020
Time: 10:48 - 11:27


4 presentations in this session

State-of-the-art lecture in Machine learning approaches to ECG interpretation.

Speaker: Professor B. Rodriguez (Oxford, GB)

Distinguishing sinus rhythm from atrial fibrillation on single-lead ECGs using a deep neural network

Speaker: Miss M. Oudkerk Pool (Amsterdam, NL)

Artificial intelligence methodology: multi-label classification of abnormal EKG records

Speaker: Doctor S. Mehta (Miami, US)

Atrial fibrillation burden and risk of new development through artificial intelligence analysis of an electrocardiogram in hospitalized patients with heart failure and preserved ejection fraction

Speaker: Doctor F. Verbrugge (Brussels, BE)

4 speakers from this session

Professor Blanca Rodriguez

University of Oxford, Oxford (United Kingdom of Great Britain & Northern Ireland)
4 presentations
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Miss Marinka Oudkerk Pool

Amsterdam UMC - Location Academic Medical Center, Amsterdam (Netherlands (The))
2 presentations
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Doctor Sameer Mehta

Lumen Foundation, Miami (United States of America)
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Doctor Frederik Hendrik Verbrugge

University Hospital (UZ) Brussels, Brussels (Belgium)
3 presentations
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