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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

29 August 2022 (09:15 - 09:40)
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Congress Presentation Part of: Prediction of arrhythmias by ECG variables Electrocardiography (ECG) ESC Professional Premium Access ESC Congress 2022

About the speaker

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Mrs Melinda Wang

University of Washington, Seattle (United States of America)

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Evaluation of five algorithms in predicting the sublocalisation of right ventricular outflow tract arrhythmia (RVOTA) when compared to 3D electroanatomical mapping origin
Doctor R. Sirbu (Sibiu, RO)
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Transformation of computerized electrocardiogram data into novel means to differentiate wide complex tachycardias
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Prediction of arrhythmias by ECG variables

The Event

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ESC Congress 2022

29 August 2022 09:15 CET

ESC 365 is supported by

novartis Explore sponsored resources

ESC 365 is supported by

novartis Explore sponsored resources