1 citations · 2 across the 4 of their papers we have counts for
4 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…
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…