ESC 365 - Improvement of a convolutional neural network using synthetic ECGs for the diagnosis of different atrial rhythms

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

Session: The digital ECG world and beyond

Topic: Artificial Intelligence (Machine Learning, Deep Learning)

Speaker: Doctor L. Alvarez Acosta (Santa Cruz de Tenerife, ES)

Event: EHRA 2022

Congress Presentation

About the speaker

Doctor Luis Alvarez Acosta

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

2 presentations

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5 more presentations in this session

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

Speaker: Doctor M. Gawalko (Warsaw, PL)

Studying the relation between post-infarction ventricular arrhythmia and left ventricular myocardium thinning on computed tomography images using explainable deep learning

Speaker: Mr B. Ly (Sophia-Antipolis, FR)

Remote device monitoring shows long-term survival benefit in a propensity matched study of ICD patients

Speaker: Mr M. Kolk (Amsterdam, NL)

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.

Speaker: Miss R. Van Der Velden (Maastricht, NL)

The impact of SMARTpass algorithm status on inappropriate shock rates in the UNTOUCHED Study

Speaker: Professor L. Boersma (Nieuwegein, NL)

Access the full session

The digital ECG world and beyond

Speakers: Doctor L. Alvarez Acosta, Doctor M. Gawalko, Mr B. Ly, Mr M. Kolk, Miss R. Van Der Velden...

About the event

EHRA 2022

3 April - 5 April 2022

Sessions Presentations

Congress

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