2 papers
eess.SP2020
Remote atrial fibrillation burden estimation using deep recurrent neural network
Armand Chocron, Julien Oster, Shany Biton +4
The atrial fibrillation burden (AFB) is defined as the percentage of time spend in atrial fibrillation (AF) over a long enough monitoring period. Recent research has demonstrated t…
eess.SP2020
Digital biomarkers and artificial intelligence for mass diagnosis of atrial fibrillation in a population sample at risk of sleep disordered breathing
Armand Chocron, Roi Efraim, Franck Mandel +5
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…