Cargando…
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...
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: | |
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 |
Ejemplares similares
-
Brady- and tachyarrhythmias detected by continuous rhythm monitoring in paroxysmal atrial fibrillation
por: Frausing, Maria Hee Jung Park, et al.
Publicado: (2023) -
Evaluation of a clinical score for predicting atrial fibrillation in cryptogenic stroke patients with insertable cardiac monitors: results from the CRYSTAL AF study
por: Zhao, Susan X., et al.
Publicado: (2019) -
New onset, recurrence and progression of atrial fibrillation after cardiac surgery during 2.5 years of continuous rhythm monitoring
por: Kawczynski, M, et al.
Publicado: (2023) -
An ensemble of features based deep learning neural network for reduction of inappropriate atrial fibrillation detection in implantable cardiac monitors
por: Sarkar, Shantanu, et al.
Publicado: (2022) -
Continuous monitoring after atrial fibrillation ablation: the LINQ AF study
por: Wechselberger, Simon, et al.
Publicado: (2018)