Evolution of surface and endocavitary signals in patients with arrhythmogenic cardiomyopathy at 1 and 5 years

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Evolution of surface and endocavitary signals in patients with arrhythmogenic cardiomyopathy at 1 and 5 years

Session: Clinical - Non invasive

Topic: Implantable Cardioverter-Defibrillator (ICD)

Speaker: Doctor C. Martignani (Bologna, IT) Doctor A. Spadotto (Geneva, CH)

Event: EHRA 2023

Congress Presentation

About the speakers

Doctor Cristian Martignani

IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna (Italy)

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Doctor Alberto Spadotto

Geneva University Hospitals, Geneva (Switzerland)

1 presentation

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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.

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Prognostic significance of addition of electrocardiographic findings to the MAGGIC heart failure risk score

Speaker: Doctor O. Dogan (Istanbul, TR)

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

Speaker: Doctor L. Pay (Ardahan, TR)

Single-lead ECGs with wearable technology: diagnostic accuracy in patients with cardiovascular disease

Speaker: Doctor A. Briosa E Gala (Oxford, GB)

Access the full session

Clinical - Non invasive

Speakers: Doctor C. Martignani, Doctor A. Spadotto, Miss A. Beierle, Doctor L. Parreira, Doctor O. Dogan...

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About the event

EHRA 2023

16 April - 18 April 2023

Sessions Presentations

Congress

Evolution of surface and endocavitary signals in patients with arrhythmogenic cardiomyopathy at 1 and 5 years

About the speakers

Doctor Cristian Martignani

Doctor Alberto Spadotto

6 more presentations in this session

Left-to-right atrioventricular activation delay, a novel measure of AV-conduction, predicts clinical outcomes in non-LBBB patients

Non-invasive electrocardiographic mapping using an endo-epicardial system based on extracellular potentials shows better accuracy for atrial arrhythmias than ventricular arrhythmias.

Prognostic significance of addition of electrocardiographic findings to the MAGGIC heart failure risk score

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

Single-lead ECGs with wearable technology: diagnostic accuracy in patients with cardiovascular disease

Access the full session

Clinical - Non invasive

About the event

EHRA 2023

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