ESC 365 - Distinguishing sinus rhythm from atrial fibrillation on single-lead ECGs using a deep neural network

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

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

Topic: Electrocardiogram (ECG) and Arrhythmia Analysis

Speaker: Miss M. Oudkerk Pool (Amsterdam, NL)

Event: ESC Congress 2020

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Miss Marinka Oudkerk Pool

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

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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)

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

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ESC Congress 2020

29 August - 1 September 2020

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