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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Detalles Bibliográficos
Autores principales: Yano, Yuichiro, Greenland, Philip, Lloyd-Jones, Donald M., Daoud, Emile G., Koehler, Jodi L., Ziegler, Paul D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4755529/
https://www.ncbi.nlm.nih.gov/pubmed/26882334
http://dx.doi.org/10.1371/journal.pone.0148914

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4755529/
https://www.ncbi.nlm.nih.gov/pubmed/26882334
http://dx.doi.org/10.1371/journal.pone.0148914

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