Classification of arrhythmias using an LSTM- and GAN-based approach to ECG signal augmentation

Back

EHRA Premium Access

Classification of arrhythmias using an LSTM- and GAN-based approach to ECG signal augmentation

Session: Clinical - ECG, invasive diagnostic

Topic: Electrocardiography (ECG)

Speaker: Miss I. Cretu (London, GB)

Event: EHRA 2023

Congress Presentation

Add to my library

About the speaker

Miss Ioana Cretu

Brunel University, London (United Kingdom of Great Britain & Northern Ireland)

0 follower

7 more presentations in this session

P-wave duration and interatrial block as predictors of new-onset atrial fibrillation: A systematic review and meta-analysis

Speaker: Associate Professor S. Nedios (Leipzig, DE)

Access

Abstract

Slides

ECG characteristics associated with adverse outcomes in COVID-19, a tertiary centre experience

Speaker: Ms P. Bistrovic (Zagreb, HR)

Access

Abstract

Slides

Non-invasive electrocardiographic ventricular mapping based on the equivalent double layer model: different workflows, same accuracy.

Speaker: Doctor L. Parreira (Setubal, PT)

Access

Abstract

Slides

Delayed ventricular conduction alters ventricular repolarization in patients with heart failure: an electrocardiographic imaging study

Speaker: Ms U. Nguyen (Maastricht, NL)

Access

Abstract

Slides

Single-lead ECGs: the future of home-monitoring in neonatal supraventricular tachycardias

Speaker: Doctor J. Cruzalegui (Barcelona, ES)

Access

Abstract

Slides

Access the full session

Clinical - ECG, invasive diagnostic

Speakers: Miss I. Cretu, Associate Professor S. Nedios, Ms P. Bistrovic, Doctor L. Parreira, Ms U. Nguyen...

Access

About the event

EHRA 2023

16 April - 18 April 2023

Sessions Presentations

Congress

ESC 365 is supported by

Explore sponsored resources