Screening Tool for Paroxysmal Atrial Fibrillation Based on a Deep-Learning Algorithm Using Printed 12-Lead Electrocardiographic Records during Sinus Rhythm

Screening Tool for Paroxysmal Atrial Fibrillation Based on a Deep-Learning Algorithm Using Printed 12-Lead Electrocardiographic Records during Sinus Rhythm

Background: Recent advancements in artificial intelligence (AI) have significantly improved atrial fibrillation (AF) detection using electrocardiography (ECG) data obtained during sinus rhythm (SR). However, the utility of printed ECG (pECG) records for AF detection, particularly in developing count...

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Bibliographic Details
Main Authors: Yang Zhou, Deyun Zhang, Yu Chen, Shijia Geng, Guodong Wei, Ying Tian, Liang Shi, Yanjiang Wang, Shenda Hong, Xingpeng Liu
Format: Article
Language:English
Published: IMR Press 2024-07-01
Series:Reviews in Cardiovascular Medicine
Subjects:
artificial intelligence
screening tool
paroxysmal atrial fibrillation
printed electrocardiography
sinus rhythm
Online Access:https://www.imrpress.com/journal/RCM/25/7/10.31083/j.rcm2507242

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https://www.imrpress.com/journal/RCM/25/7/10.31083/j.rcm2507242

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