Open Access

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

Congress Session

About the speaker

Professor Frederik Hendrik Verbrugge

University Hospital (UZ) Brussels, Brussels (Belgium)
3 presentations
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3 more 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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Access the full session

Machine Learning Approaches to ECG Interpretation: State of the Art

Speakers: Professor F. Verbrugge, Professor B. Rodriguez, Miss M. Oudkerk Pool, Doctor S. Mehta
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ESC CONGRESS 2020 - The Digital Experience

28 August - 1 September 2020

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