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

Congress Session

About the speaker

Professor Blanca Rodriguez

University of Oxford, Oxford (United Kingdom of Great Britain & Northern Ireland)
4 presentations
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3 more presentations in this session

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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Access the full session

Machine Learning Approaches to ECG Interpretation: State of the Art

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

28 August - 1 September 2020

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