ESC 365 - Transformation of computerized electrocardiogram data into novel means to differentiate wide complex tachycardias

ESC Professional Premium Access

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

Session: Prediction of arrhythmias by ECG variables

Topic: Electrocardiography (ECG)

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

Event: ESC Congress 2022

Congress Presentation

Add to my library

About the speaker

Doctor Bhavesh Katbamna

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

0 follower

4 more 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)

Access the full session

Prediction of arrhythmias by ECG variables

Speakers: Doctor B. Katbamna, Doctor M. Nogueira De Marchi, Professor P. Platonov, Doctor R. Sirbu, Mrs M. Wang

About the event

ESC Congress 2022

26 August - 29 August 2022

Sessions Presentations

Congress

ESC 365 is supported by

Explore sponsored resources

Explore sponsored resources