ESC 365 - State-of-the-art lecture in Machine learning approaches to ECG interpretation.

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

Session: Machine Learning Approaches to ECG Interpretation: State of the Art

Topic: Electrocardiogram (ECG) and Arrhythmia Analysis

Speaker: Professor B. Rodriguez (Oxford, GB)

Event: ESC Congress 2020

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About the speaker

Professor Blanca Rodriguez

University of Oxford, Oxford (United Kingdom of Great Britain & Northern Ireland)

6 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)

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)

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Machine Learning Approaches to ECG Interpretation: State of the Art

Speakers: Professor B. Rodriguez, Miss M. Oudkerk Pool, Doctor S. Mehta, Doctor F. Verbrugge

About the event

ESC Congress 2020

29 August - 1 September 2020

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