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Optimising and validating deep learning approaches for diagnosing atrial fibrillation from few-lead ambulatory electrocardiogram signals

3 April 2022 (16:15 - 16:25)
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Congress Presentation Part of: e-Cardiology award session Artificial Intelligence EHRA Premium Access EHRA 2022

About the speaker

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Doctor Panteleimon Pantelidis

National & Kapodistrian University of Athens, Athens (Greece)

4 More presentations in this session

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The impact of a structured polygraphy screening incorporated in a novel remote mobile health pathway on sleep apnoea prevalence in patients with atrial fibrillation
Miss D. Verhaert (Maastricht, NL)
Abstract Slides Video
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Clinical validation of five direct-to-consumer smartwatches to detect atrial fibrillation in a real-world cohort of patients
Doctor P. Badertscher (Basel, CH)
Abstract Slides Video
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Classification of organised atrial arrythmias using explainable artificial intelligence
Doctor A. Sau (London, GB)
Abstract Slides Video
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Artificial intelligence algorithms for the recognition of Brugada type 1 pattern on standard 12-leads ECG
Mr F. Vozzi (Pisa, IT)
Abstract Slides Video

Access the full session

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e-Cardiology award session
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The Event

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EHRA 2022

3 April 2022 16:15 CET
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ESC 365 is supported by

novartis Explore sponsored resources
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