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

29 August 2020 (10:57 - 11:07)
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Congress Presentation Part of: Machine Learning Approaches to ECG Interpretation: State of the Art Electrocardiogram (ECG) and Arrhythmia Analysis ESC Premium Access ESC Congress 2020

About the speaker

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Miss Marinka Oudkerk Pool

Amsterdam University Medical Centre (AUMC), Amsterdam (Netherlands (The))

3 More presentations in this session

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State-of-the-art lecture in Machine learning approaches to ECG interpretation.
Professor B. Rodriguez (Oxford, GB)
Slides Video
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Artificial intelligence methodology: multi-label classification of abnormal EKG records
Doctor S. Mehta (Miami, US)
Abstract Slides Video
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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
Doctor F. Verbrugge (Brussels, BE)
Abstract Slides Video

Access the full session

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Machine Learning Approaches to ECG Interpretation: State of the Art

The Event

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ESC Congress 2020

29 August 2020 10:57 CET
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