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)
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6 more presentations in this session

Deep learning formulation of ECGI evaluated on clinical data

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

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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)

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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)

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

Speaker: Mr J. Fernstad (Stockholm, SE)

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

Speaker: Ms A. Hermans (Maastricht, NL)

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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...
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About the event

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EHRA 2022

3 April - 5 April 2022

Sessions Presentations

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