首页> Journal of the American Heart Association> Validation of a Deep Learning Algorithm for Continuous, Real-Time Detection of Atrial Fibrillation Using a Wrist-Worn Device in an Ambulatory Environment.

Validation of a Deep Learning Algorithm for Continuous, Real-Time Detection of Atrial Fibrillation Using a Wrist-Worn Device in an Ambulatory Environment.

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第一作者： Ming-Zher,Poh

第一单位： Verily Life Sciences South San Francisco CA.

作者： Ming-Zher,Poh ^[1] ; Anthony J,Battisti ^[2] ; Li-Fang,Cheng ^[1] ; Janice,Lin ^[1] ; Anil,Patwardhan ^[1] ; Ganesh S,Venkataraman ^[3] ; Charles A,Athill ^[4] ; Nimesh S,Patel ^[5] ; Chinmay P,Patel ^[6] ; Christian E,Machado ^[7] ; Jeffrey T,Ellis ^[2] ; Lori A,Crosson ^[2] ; Yuriko,Tamura ^[2] ; R Scooter,Plowman ^[8] ; Mintu P,Turakhia ^[2] ; Hamid,Ghanbari ^[9]

作者单位： Verily Life Sciences South San Francisco CA. ^[1] iRhythm Technologies San Francisco CA. ^[2] Colorado Heart and Vascular Lakewood CO. ^[3] San Diego Cardiac Center San Diego CA. ^[4] University of Texas Southwestern Medical Center Dallas TX. ^[5] University of Pittsburgh Medical Center Harrisburg Harrisburg PA. ^[6] Ascension Providence Hospital Southfield MI. ^[7] Verily Life Sciences South San Francisco CA.;Stanford University Medical Center Palo Alto CA. ^[8] Verily Life Sciences South San Francisco CA.;University of Michigan Ann Arbor MI. ^[9]

关键词 atrial fibrillation atrial fibrillation burden continuous monitoring electrocardiogram photoplethysmography

医学主题词人类(Humans);算法(Algorithms);心房颤动(Atrial Fibrillation);心电描记术(Electrocardiography);前瞻性研究(Prospective Studies);腕(Wrist)

DOI 10.1161/JAHA.123.030543

PMID 37750558

发布时间 2025-07-28

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