Current Advancement in Diagnosing Atrial Fibrillation by Utilizing Wearable Devices and Artificial Intelligence: A Review Study

Current Advancement in Diagnosing Atrial Fibrillation by Utilizing Wearable Devices and Artificial Intelligence: A Review Study

Atrial fibrillation (AF) is a common arrhythmia affecting 8–10% of the population older than 80 years old. The importance of early diagnosis of atrial fibrillation has been broadly recognized since arrhythmias significantly increase the risk of stroke, heart failure and tachycardia-induced cardiomyo...

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Bibliographic Details
Main Authors: Yu-Chiang Wang, Xiaobo Xu, Adrija Hajra, Samuel Apple, Amrin Kharawala, Gustavo Duarte, Wasla Liaqat, Yiwen Fu, Weijia Li, Yiyun Chen, Robert T. Faillace
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Diagnostics
Subjects:
atrial fibrillation
artificial intelligence
wearable devices
machine learning
Online Access:https://www.mdpi.com/2075-4418/12/3/689

Internet

https://www.mdpi.com/2075-4418/12/3/689

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