13 citations · 13 across the 5 of their papers we have counts for
5 papers
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…
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…
Domain-Informed Spline Interpolation
Hamid Behjat, Zafer Doğan, Dimitri Van De Ville +1
Standard interpolation techniques are implicitly based on the assumption that the signal lies on a single homogeneous domain. In contrast, many naturally occurring signals lie on a…
Interpolation in the Presence of Domain Inhomogeneity
Hamid Behjat, Zafer Doğan, Dimitri Van De Ville +1
Standard interpolation techniques are implicitly based on the assumption that the signal lies on a homogeneous domain. In this letter, the proposed interpolation method instead exp…