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Artificial intelligence to reduce artifact in cardiac electrophysiological signals

27 August 2022 (10:15 - 11:00)
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Congress Presentation Part of: Non-invasive diagnostic methods for various arrhythmias Noninvasive Diagnostic Methods ESC Professional Premium Access ESC Congress 2022

About the speaker

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Doctor Samuel Ruiperez-Campillo

Swiss Federal Institute of Technology Zurich (ETH Zurich), Zurich (Switzerland)

5 More presentations in this session

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Syncopal patients without prodromes exhibit a diverse pattern of adenosine release during head-up tilt test
Miss A. Boulmpou (Nijmegen, NL)
Abstract Slides
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Respiratory disturbance index as a predictor of atrial fibrillation
Doctor D. Carvalho (Aveiro, PT)
Abstract Slides
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Patients parameters and results of the tilt table test depending on referrals
Ms K. Kirnosova (Ulm, DE)
Abstract Slides
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The use of novel 3D dark-blood late gadolinium enhancement MRI to determine the optimal threshold for atrial scar after pulmonary vein isolation ablation.
Mrs G. Bijvoet (Maastricht, NL)
Abstract Slides
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Left atrial overload detection in ECG using frequency domain features with convolutional neural network
Associate Professor S. Kucukseymen (Manama, BH)
Abstract Slides

Access the full session

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Non-invasive diagnostic methods for various arrhythmias

The Event

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ESC Congress 2022

27 August 2022 10:15 CET

ESC 365 is supported by

novartis Explore sponsored resources

ESC 365 is supported by

novartis Explore sponsored resources