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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

Session

4 presentations in this session

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

Speaker: Professor B. Rodriguez (Oxford, GB)
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Distinguishing sinus rhythm from atrial fibrillation on single-lead ECGs using a deep neural network

Speaker: Miss M. Oudkerk Pool (Amsterdam, NL)
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Artificial intelligence methodology: multi-label classification of abnormal EKG records

Speaker: Doctor S. Mehta (Miami, US)
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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)
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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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