An Artificial Intelligence Algorithm With 24-h Holter Monitoring for the Identification of Occult Atrial Fibrillation During Sinus Rhythm

An Artificial Intelligence Algorithm With 24-h Holter Monitoring for the Identification of Occult Atrial Fibrillation During Sinus Rhythm

BackgroundSubclinical atrial fibrillation (AF) is one of the pathogeneses of embolic stroke. Detection of occult AF and providing proper anticoagulant treatment is an important way to prevent stroke recurrence. The purpose of this study was to determine whether an artificial intelligence (AI) model...

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Bibliographic Details
Main Authors: Ju Youn Kim, Kyung Geun Kim, Yunwon Tae, Mineok Chang, Seung-Jung Park, Kyoung-Min Park, Young Keun On, June Soo Kim, Yeha Lee, Sung-Won Jang
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-07-01
Series:Frontiers in Cardiovascular Medicine
Subjects:
atrial fibrillation
24-h Holter monitoring
artificial intelligence
continuous ambulatory rhythm monitoring
supraventricular ectopy
Online Access:https://www.frontiersin.org/articles/10.3389/fcvm.2022.906780/full

Internet

https://www.frontiersin.org/articles/10.3389/fcvm.2022.906780/full

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