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Development of machine learning models to predict response after cardiac resynchronization therapy

28 August 2020 (08:00 - 18:00)
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Congress Presentation Part of: Device Therapy ePosters Cardiac Resynchronisation Therapy (CRT) ESC Premium Access ESC Congress 2020

About the speaker

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Doctor Yixiu Liang

Zhongshan Hospital, Shanghai (China)

56 More presentations in this session

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Pacemakers capable of monitoring sleep-disordered breathing: impact on sleep apnea detection in real life
Doctor N. Bidegain (Pau, FR)
Abstract Slides
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Device-device communication stability of leadless anti-tachycardia pacemaker and subcutaneous implantable cardioverter defibrillator over 18 months
Doctor F. Tjong (Amsterdam, NL)
Abstract Slides
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The back-up lead in his bundle pacing: evolution over the years
Doctor F. Zanon (Rovigo, IT)
Abstract Slides
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Leadless pacemaker implant in patients with a history of open heart surgery: experience with the Micra transcatheter pacemaker
Doctor C. Garweg (Leuven, BE)
Abstract Slides
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The challenge of education in conduction system pacing: results from single or dual operators.
Doctor F. Zanon (Rovigo, IT)
Abstract Slides

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Device Therapy ePosters

The Event

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ESC Congress 2020

28 August 2020 08:00 CET
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novartis Explore sponsored resources
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