ESC Professional Premium Access

Prediction of arrhythmias by ECG variables

Event: ESC Congress 2022
Topic: Electrocardiography (ECG)
Session type: Moderated ePosters
Date: 29 August 2022
Time: 09:15 - 09:40

Congress Session

5 presentations in this session

Electrocardiographic profile of asymptomatic adolescents by the TELE ECG system in Brazil: analysis of 11058 patients

Speaker: Doctor M. Nogueira De Marchi (Sao Paulo, BR)

Morphology-Voltage-P-wave duration (MVP) score in prediction of incident atrial fibrillation in an elderly epidemiologic cohort

Speaker: Professor P. Platonov (Lund, SE)

Evaluation of five algorithms in predicting the sublocalisation of right ventricular outflow tract arrhythmia (RVOTA) when compared to 3D electroanatomical mapping origin

Speaker: Doctor R. Sirbu (Sibiu, RO)

Various arrhythmia types and their day-by-day occurrence rates over a 14-day period using a P-wave sensitive ambulatory ECG monitored population

Speaker: Mrs M. Wang (Seattle, US)

Transformation of computerized electrocardiogram data into novel means to differentiate wide complex tachycardias

Speaker: Doctor B. Katbamna (Saint Louis, US)

5 speakers from this session

Doctor Mariana Nogueira De Marchi

Institute Dante Pazzanese of Cardiology, Sao Paulo (Brazil)
0 follower

Professor Pyotr Platonov

Skane University Hospital, Lund (Sweden)
1 presentation
0 follower

Doctor Raluca Sirbu

Lucian Blaga University Sibiu, POLISANO Medlife Hospital, Sibiu (Romania)
0 follower

Mrs Melinda Wang

University of Washington, Seattle (United States of America)
0 follower

Doctor Bhavesh Katbamna

The Washington University, Saint Louis (United States of America)
0 follower

This platform is supported by

logo Novo Nordisk