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Making wrist photoplethysmography reliable for clinical activity quantification: validation of a novel machine learning artefact removal procedure

12 April 2026 (08:00 - 15:30)
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Congress Presentation Part of: e-Cardiology and digital health Artificial Intelligence EHRA Premium Access EHRA 2026 European Heart Rhythm Association (EHRA)

About the speaker

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Doctor Paulien Vermunicht

University of Antwerp, Antwerp (Belgium)

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Bi-atrial synthetic populations with geometry-conditioned conduction velocity for atrial fibrillation simulations
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Atrial/AV parsing and QRS govern clinical usefulness of image-native 12-lead ECG interpretation by a compact multimodal reasoning model
Doctor I. Zeljkovic (Zagreb, HR)
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Safety-concordant performance of large language models on cardiology vignettes
Doctor A. Jordan (Zagreb, HR)
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A novel AI-ECG tool for detecting non-pulmonary vein trigger before atrial fibrillation ablation
Professor J. Choi (Seoul, KR)
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Machine learning approach to identify clusters of patients with distinct cardiac chronotropic response during incremental exercise
Mr A. Rammal (Paris, FR)
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e-Cardiology and digital health

The Event

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EHRA 2026

12 April - 14 April 2026
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