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Machine-learned physiological signatures from the ECG predict sudden death in ischemic cardiomyopathy

4 April 2022 (13:00 - 13:42)
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Congress Presentation Part of: Moderated ePosters - Diagnostic methods to improve arrhythmia therapy Electrocardiography (ECG) EHRA Premium Access EHRA 2022

About the speaker

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Doctor Samuel Ruiperez-Campillo

Swiss Federal Institute of Technology Zurich (ETH Zurich), Zurich (Switzerland)

6 More presentations in this session

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A novel weighted hybrid clinical and electrocardiographic score to predict the origin of outflow tract ventricular arrhythmias: a multicenter study.
Doctor G. Falasconi (Barcelona, ES)
Abstract Slides
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QT interval prolongation is a novel predictor of one year morality in patients with coronavirus disease-19 infection
Doctor A. Banai (Tel Aviv, IL)
Abstract Slides
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Incidental arrhythmias during atrial fibrillation screening in a hospital-based patient population
Doctor E. Goulouti (Bern, CH)
Abstract Slides
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Novel CineECG to identify disease onset and progression in pathogenic plakophilin-2 mutation carriers
Miss M. Boonstra (Amsterdam, NL)
Abstract Slides
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Endocardial and epicardial ECG imaging during sinus rhythm to detect local conduction delay in arrhythmogenic cardiomyopathy
Miss M. Boonstra (Amsterdam, NL)
Abstract Slides

Access the full session

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Moderated ePosters - Diagnostic methods to improve arrhythmia therapy

The Event

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EHRA 2022

4 April 2022 13:00 CET
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