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Machine learning approach on high risk treadmill exercise test to predict obstructive coronary artery disease by using P QRS and T waves features

16 April 2023 (08:00 - 20:00)
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Congress Presentation Part of: Clinical - Non invasive Artificial Intelligence EHRA Premium Access EHRA 2023

About the speaker

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Doctor Levent Pay

HASEKI EDUCATION AND RESEARCH HOSPITAL, Istanbul (Turkiye)

6 More presentations in this session

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Evolution of surface and endocavitary signals in patients with arrhythmogenic cardiomyopathy at 1 and 5 years
Doctor C. Martignani (Bologna, IT) Doctor A. Spadotto (Bologna, IT)
Abstract Slides Video
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Left-to-right atrioventricular activation delay, a novel measure of AV-conduction, predicts clinical outcomes in non-LBBB patients
Miss A. Beierle (Nauen, DE)
Abstract Slides Video
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Non-invasive electrocardiographic mapping using an endo-epicardial system based on extracellular potentials shows better accuracy for atrial arrhythmias than ventricular arrhythmias.
Doctor L. Parreira (Setubal, PT)
Abstract Slides Video
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Prognostic significance of addition of electrocardiographic findings to the MAGGIC heart failure risk score
Doctor O. Dogan (Istanbul, TR)
Abstract Slides Video
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Single-lead ECGs with wearable technology: diagnostic accuracy in patients with cardiovascular disease
Doctor A. Briosa E Gala (Bern, CH)
Abstract Slides Video

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Clinical - Non invasive
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The Event

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EHRA 2023

16 April - 18 April 2023
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novartis Explore sponsored resources