Identification of atrial fibrillation using heart rate variability: a meta-analysis

Identification of atrial fibrillation using heart rate variability: a meta-analysis

BackgroundAtrial fibrillation (AF) is the most common sustained cardiac arrhythmia and is associated with significant cardiovascular complications. Recently, artificial intelligence (AI) algorithms have leveraged heart rate variability (HRV) patterns to enhance the accuracy of AF identification.Meth...

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Bibliographic Details
Main Authors: Ziwei Yin, Changxin Liu, Chenggong Xie, Zixing Nie, Jiaming Wei, Wen Zhang, Hao Liang
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-06-01
Series:Frontiers in Cardiovascular Medicine
Subjects:
deep learning
machine learning
atrial fibrillation
heart rate variability
ECG
meta-analysis
Online Access:https://www.frontiersin.org/articles/10.3389/fcvm.2025.1581683/full
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