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P-wave based deep learning model improves atrial fibrillation patient classification compared to full 12-lead ECG

29 August 2025 (07:00 - 18:00)
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Congress Presentation Part of: Precision cardiology: the role of signal processing and artificial intelligence Electrocardiogram (ECG) and Arrhythmia Analysis ESC Professional Premium Access ESC Congress 2025 European Society of Cardiology

About the speaker

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Miss Maria Guerrero Hernandez

London (United Kingdom of Great Britain & Northern Ireland)

7 More presentations in this session

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Validation of an artificial intelligence model for occlusion myocardial infarction identification: initial findings from a Portuguese cohort
Doctor M. Grine (Coimbra, PT)
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Robust ecg analysis across various racial and ethnic populations: enhancing diversity
Mr J. Francey (Belfast, GB)
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Biophysics-inspired deep learning for improved denoising in ventricular signals in ischemic cardiomyopathy
Mr S. Ruiperez-Campillo (Zurich, CH)
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Abnormal P-waves morphology as a marker of atrial abnormality in a population-based cohort of patients with normal P-wave duration.
Doctor M. Baturova (Lund, SE)
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Advancing atrial fibrillation care: deep learning on ECG for comorbidity detection
Doctor Y. Mohsen (Baltimore, US)
Abstract Slides Video

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Precision cardiology: the role of signal processing and artificial intelligence

The Event

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ESC Congress 2025

29 August - 1 September 2025
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ESC 365 is supported by

novartis Explore sponsored resources