ESC 365 - Various arrhythmia types and their day-by-day occurrence rates over a 14-day period using a P-wave sensitive ambulatory ECG monitored population

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

Session: Prediction of arrhythmias by ECG variables

Topic: Electrocardiography (ECG)

Speaker: Mrs M. Wang (Seattle, US)

Event: ESC Congress 2022

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Mrs Melinda Wang

University of Washington, Seattle (United States of America)

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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)

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

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

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Prediction of arrhythmias by ECG variables

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

About the event

ESC Congress 2022

26 August - 29 August 2022

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