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A multilabel deep learning model for the detection of conduction and rhythm disorders from PDF outputs of a widely available portable ECG Device

2 September 2024 (12:00 - 12:50)
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Congress Presentation Part of: Cardiovascular assessment and intervention: from computational modelling to wearable technology Electrocardiogram (ECG) and Arrhythmia Analysis ESC Professional Premium Access ESC Congress 2024 European Society of Cardiology

About the speaker

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Mr Veer Sangha

New Haven (United States of America)

8 More presentations in this session

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Deciphering postoperative hemodynamics in pediatric intensive care: insights from patient-specific computational fluid dynamics models for congenital heart disease
Doctor K. Sughimoto (Chiba, JP)
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Worse arterial pressure reservoir capacity is associated with exacerbated hemodynamic response to capnogram changes and more labile intraoperative cardiopulmonary-metabolic coupling
Miss Y. Alan (Istanbul, TR)
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Automatic calculation of the parasympathetic, sympathetic and Baevsky stress indexes provides a more comprehensive assessment of cardiac autonomic modulation
Assistant Professor D. Brisinda (Rome, IT)
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Tell me and I forget, teach me and I may remember, involve me and I learn: impact of simulation training on performance in electrophysiology
Mr M. Kozlik (Katowice, PL)
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Novel 3D-ECG algorithms for reliable screening of cardiac amyloidosis
Doctor A. Mahabadi (Essen, DE)
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Access the full session

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Cardiovascular assessment and intervention: from computational modelling to wearable technology

The Event

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ESC Congress 2024

2 September 2024 12:00 CET
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novartis Explore sponsored resources