81 citations · 94 across the 6 of their papers we have counts for
6 papers
SHDB-AF: a Japanese Holter ECG database of atrial fibrillation
Kenta Tsutsui, Shany Biton Brimer, Noam Ben-Moshe +8
Atrial fibrillation (AF) is a common atrial arrhythmia that impairs quality of life and causes embolic stroke, heart failure and other complications. Recent advancements in machine…
RawECGNet: Deep Learning Generalization for Atrial Fibrillation Detection from the Raw ECG
Noam Ben-Moshe, Kenta Tsutsui, Shany Biton +2
Introduction: Deep learning models for detecting episodes of atrial fibrillation (AF) using rhythm information in long-term, ambulatory ECG recordings have shown high performance.…
Machine Learning for Ranking f-wave Extraction Methods in Single-Lead ECGs
Noam Ben-Moshe, Shany Biton, Kenta Tsutsui +3
Introduction: The presence of fibrillatory waves (f-waves) is important in the diagnosis of atrial fibrillation (AF), which has motivated the development of methods for f-wave extr…
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 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…
Computer Algorithms for Automated Detection and Analysis of Local Ca2+ Releases in Spontaneously Beating Cardiac Pacemaker Cells
Alexander V. Maltsev, Sean P. Parsons, Mary S. Kim +5
Local Ca Releases (LCRs) are crucial events involved in cardiac pacemaker cell function. However, specific algorithms for automatic LCR detection and analysis have not been develop…