Simulation of Daily Snapshot Rhythm Monitoring to Identify Atrial Fibrillation in Continuously Monitored Patients with Stroke Risk Factors

BACKGROUND: New technologies are diffusing into medical practice swiftly. Hand-held devices such as smartphones can record short-duration (e.g., 1-minute) ECGs, but their effectiveness in identifying patients with paroxysmal atrial fibrillation (AF) is unknown. METHODS: We used data from the TRENDS...

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Detalhes bibliográficos
Publicado no:PLoS One
Main Authors: Yano, Yuichiro, Greenland, Philip, Lloyd-Jones, Donald M., Daoud, Emile G., Koehler, Jodi L., Ziegler, Paul D.
Formato: Artigo
Idioma:Inglês
Publicado em: Public Library of Science 2016
Assuntos:
Research Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC4755529/
https://ncbi.nlm.nih.gov/pubmed/26882334
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0148914
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