activity
20202023
most citedGeneralizable and Robust Deep Learning Algorithm for Atrial Fibrillation Diagnosis Across Ethnicities, Ages and Sexes

2 citations · 5 across the 5 of their papers we have counts for

collaborators

5 papers

q-bio.QM2023★ 2 cited

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…

eess.SP2022

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…

eess.SP2022★ 1 cited

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…

cs.LG2022★ 2 cited

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…

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…