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Improvement of a convolutional neural network using synthetic ECGs for the diagnosis of different atrial rhythms

3 April 2022 (00:00 - 00:00)
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Congress Presentation Part of: The digital ECG world and beyond Artificial Intelligence EHRA Premium Access EHRA 2022

About the speaker

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Doctor Luis Alvarez Acosta

UNIVERSITY HOSPITAL NUESTRA SEÑORA DE LA CANDELARIA, Santa Cruz de Tenerife (Spain)

5 More presentations in this session

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Patient motivation and adherence to an on-demand app-based heart rate and rhythm monitoring infrastructure for atrial fibrillation management through teleconsultation. TeleCheck-AF project results
Doctor M. Gawalko (Warsaw, PL)
Abstract Slides Video
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Studying the relation between post-infarction ventricular arrhythmia and left ventricular myocardium thinning on computed tomography images using explainable deep learning
Mr B. Ly (Sophia-Antipolis, FR)
Abstract Slides Video
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Remote device monitoring shows long-term survival benefit in a propensity matched study of ICD patients
Mr M. Kolk (Amsterdam, NL)
Abstract Slides Video
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Adherence to mobile health for intermittent rhythm monitoring to detect recurrences after emergency department visit for recent-onset atrial fibrillation: a subanalysis of the RACE 7 ACWAS trial.
Miss R. Van Der Velden (Maastricht, NL)
Abstract Slides Video
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The impact of SMARTpass algorithm status on inappropriate shock rates in the UNTOUCHED Study
Professor L. Boersma (Nieuwegein, NL)
Abstract Slides Video

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The digital ECG world and beyond

The Event

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EHRA 2022

3 April - 5 April 2022
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ESC 365 is supported by

novartis Explore sponsored resources