Open Access

An automatic single beat algorithm to discriminate farfield from nearfield bipolar voltage electrograms from the pulmonary veins

Topic: Artificial Intelligence (Machine Learning, Deep Learning)

Congress Session

About the speaker

Doctor Sven Knecht

University Hospital Basel, Department of Cardiology, Basel (Switzerland)
0 follower

6 more presentations in this session

Deep learning formulation of ECGI evaluated on clinical data

Speaker: Doctor T. Bacoyannis (Sophia-Antipolis, FR)


The in-ear region as a novel anatomical site for ecg signal detection: validation study on patients affected by atrial tachyarrhythmias.

Speaker: Doctor R. De Lucia (Pisa, IT)


Diagnostic yield of a portable electrocardiographic device versus 24-hours conventional holter monitoring in the diagnosis of arrhythmic events

Speaker: Doctor L. Alvarez Acosta (Santa Cruz de Tenerife, ES)


Validation of a novel smartphone-based photoplethysmographic method for ambulatory heart rhythm diagnostics

Speaker: Mr J. Fernstad (Stockholm, SE)


Mobile app-based symptom-rhythm correlation assessment in patients with persistent atrial fibrillation

Speaker: Ms A. Hermans (Maastricht, NL)


Access the full session

Moderated ePosters - E-cardiology

Speakers: Doctor S. Knecht, Doctor T. Bacoyannis, Doctor R. De Lucia, Doctor L. Alvarez Acosta, Mr J. Fernstad...

About the event


EHRA 2022

3 April - 5 April 2022

Sessions Presentations

Related content

Open Access

Novel cryo-balloon technology for a successful pulmonary vein isolation: acute outcome and follow-up from a large multicenter Italian clinical setting

4 April 2022

Open Access

Biophysical parameters and time to isolation of pulmonary veins with a novel cryoballoon: results of POLAR ICE study

3 April 2022

Open Access

Selective epicardial pulsed field ablation of atrial ganglionated plexi causes anti-arrhythmic prolongation of refractoriness: demonstration of feasibility in cardiac surgery patients

3 April 2022

This platform is supported by

logo Novo Nordisk