Digital biomarkers and artificial intelligence for mass diagnosis of atrial fibrillation in a population sample at risk of sleep disordered breathing

Atrial fibrillation (AF) is the most prevalent arrhythmia and is associated with a five-fold increase in stroke risk. Many individuals with AF go undetected. These individuals are often asymptomatic. There are ongoing debates on whether mass screening for AF is to be recommended. However, there is i...

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Veröffentlicht in:	arXiv.org 2020-07
Hauptverfasser:	Chocron, Armand, Roi Efraim, Mandel, Franck, Rueschman, Michael, Palmius, Niclas, Penzel, Thomas, Meyer Elbaz, Behar, Joachim A
Format:	Artikel
Sprache:	eng
Schlagworte:	Arrhythmia Artificial intelligence Biomarkers Cardiac arrhythmia Diagnosis Fibrillation Inspection Machine learning Recording Rhythm Risk Sleep apnea
Online-Zugang:	Volltext
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