2 citations · 5 across the 5 of their papers we have counts for
5 papers
PhysioZoo: The Open Digital Physiological Biomarkers Resource
Joachim A. Behar, Jeremy Levy, Eran Zvuloni +8
PhysioZoo is a collaborative platform designed for the analysis of continuous physiological time series. The platform currently comprises four modules, each consisting of a library…
Estimation of f-wave Dominant Frequency Using a Voting Scheme
Shany Biton, Mahmoud Suleiman, Noam Ben Moshe +2
Introduction: Atrial fibrillation (AF) is the most common heart arrhythmia, characterized by the presence of fibrillatory waves (f-waves) in the ECG. We introduce a voting scheme t…
ArNet-ECG: Deep Learning for the Detection of Atrial Fibrillation from the Raw Electrocardiogram
Noam Ben-Moshe, Shany Biton, Joachim A. Behar
Atrial fibrillation (AF) is the most prevalent heart arrhythmia. AF manifests on the electrocardiogram (ECG) though irregular beat-to-beat time interval variation, the absence of P…
Generalizable and Robust Deep Learning Algorithm for Atrial Fibrillation Diagnosis Across Ethnicities, Ages and Sexes
Shany Biton, Mohsin Aldhafeeri, Erez Marcusohn +7
To drive health innovation that meets the needs of all and democratize healthcare, there is a need to assess the generalization performance of deep learning (DL) algorithms across…
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…