81 citations · 186 across the 20 of their papers we have counts for
4 papers · 1 filter
Machine learning for nocturnal diagnosis of chronic obstructive pulmonary disease using digital oximetry biomarkers
Jeremy Levy, Daniel Alvarez, Felix del Campo +1
Objective: Chronic obstructive pulmonary disease (COPD) is a highly prevalent chronic condition. COPD is a major source of morbidity, mortality and healthcare costs. Spirometry is…
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…
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…
Remote health monitoring and diagnosis in the time of COVID-19
Joachim A. Behar, Chengyu Liu, Kevin Kotzen +13
Coronavirus disease (COVID-19) is caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) that is rapidly spreading across the globe. The clinical spectrum of SA…