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Heart rate variability to predict 1-day atrial fibrillation episode onset using machine learning

1 September 2024 (12:00 - 12:40)
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Congress Presentation Part of: Atrial fibrillation detection, prediction, and management Holter Monitoring ESC Professional Premium Access ESC Congress 2024 European Society of Cardiology

About the speaker

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Professor Stephane Guy Carlier

Chu Helora - Hospital De Mons - Site Kennedy, Mons (Belgium)

6 More presentations in this session

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Impact of atrial fibrillation on cardiac autonomic function in elderly patients
Doctor P. Haemmerle (Basel, CH)
Abstract Slides Video
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Circadian rhythm in atrial fibrillation detected by implantable loop recorder: a post-hoc analysis of a randomized clinical trial
Mr D. Spona (Copenhagen, DK)
Abstract Slides Video
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To monitor or not after detected AF, this is a question: report from the consumer-led screening programme of long-term extension mAFA cohort
Professor Y. Guo (Beijing, CN)
Abstract Slides Video
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Quality of life after screening for atrial fibrillation: a substudy from a randomised screening trial
Doctor E. Kongebro (Copenhagen, DK)
Abstract Slides Video
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Mobile health technology integrated care in atrial fibrillation patients according to polypharmacy: an analysis of the mAFA-II clinical trial
Doctor B. Corica (Modena, IT)
Abstract Slides Video

Access the full session

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Atrial fibrillation detection, prediction, and management

The Event

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ESC Congress 2024

1 September 2024 12:00 CET
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ESC 365 is supported by

novartis Explore sponsored resources