Visualizing and Quantifying Irregular Heart Rate Irregularities to Identify Atrial Fibrillation Events

Visualizing and Quantifying Irregular Heart Rate Irregularities to Identify Atrial Fibrillation Events

BackgroundScreening the general public for atrial fibrillation (AF) may enable early detection and timely intervention, which could potentially decrease the incidence of stroke. Existing screening methods require professional monitoring and involve high costs. AF is characterized by an irregular irr...

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Bibliographic Details
Main Authors: Noam Keidar, Yonatan Elul, Assaf Schuster, Yael Yaniv
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-02-01
Series:Frontiers in Physiology
Subjects:
artificial intelligence
arrhythmia
stroke
diagnosis
atrial fibrillation
Online Access:https://www.frontiersin.org/articles/10.3389/fphys.2021.637680/full

Internet

https://www.frontiersin.org/articles/10.3389/fphys.2021.637680/full

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