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Machine Learning Approaches to ECG Interpretation: State of the Art
Event:
ESC CONGRESS 2020 - The Digital Experience
Topic:
Electrocardiogram (ECG) and Arrhythmia Analysis
Session type:
Advances in Science
Date:
29 August 2020
Time:
10:48 - 11:27
Session
0
4
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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Slides
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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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Abstract
Slides
Video
0
Artificial intelligence methodology: multi-label classification of abnormal EKG records
Speaker:
Doctor S. Mehta (Miami, US)
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Abstract
Slides
Video
0
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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Abstract
Slides
Video
0
4
speakers
from this session
Professor Blanca Rodriguez
University of Oxford, Oxford (United Kingdom of Great Britain & Northern Ireland)
4
presentations
0
follower
Miss Marinka Oudkerk Pool
Amsterdam UMC - Location Academic Medical Center, Amsterdam (Netherlands (The))
2
presentations
0
follower
Doctor Sameer Mehta
Lumen Foundation, Miami (United States of America)
0
follower
Doctor Frederik Hendrik Verbrugge
University Hospital (UZ) Brussels, Brussels (Belgium)
3
presentations
0
follower
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