Diagnostic accuracy for detecting atrial fibrillation using a novel machine learning algorithm in a blood pressure monitor-Reference-Cited by-同舟云学术

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Diagnostic accuracy for detecting atrial fibrillation using a novel machine learning algorithm in a blood pressure monitor

Published:2024-04 Issue: Volume: Page:
ISSN:1547-5271
Container-title:Heart Rhythm
language:en
Short-container-title:Heart Rhythm

Author:

Janik Matthew^ORCID,Raad George,Nijmeh George,O’Steen Matthew,Rasmussen Jason

Funder

Omron Healthcare Co Ltd

Publisher

Elsevier BV

Reference19 articles.

1. Contribution of atrial fibrillation to incidence and outcome of ischemic stroke;Marini;Stroke,2005

2. Cryptogenic stroke and underlying atrial fibrillation;Tommaso;N Engl J Med,2014

3. Validation of the modified Microlife blood pressure monitor in patients with paroxysmal atrial fibrillation;Huppertz;Clin Res Cardiol,2020

4. Screening for asymptomatic atrial fibrillation while monitoring the blood pressure at home: trial of regular versus irregular pulse for prevention of stroke (TRIPPS 2.0);Wiesel;Am J Cardiol,2013

5. Detection of atrial fibrillation using a modified Microlife blood pressure monitor;Wiesel;Am J Hypertens,2009

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