2 citations · 4 across the 5 of their papers we have counts for
5 papers
Modeling Day-Long ECG Signals to Predict Heart Failure Risk with Explainable AI
Eran Zvuloni, Ronit Almog, Michael Glikson +5
Heart failure (HF) affects 11.8% of adults aged 65 and older, reducing quality of life and longevity. Preventing HF can reduce morbidity and mortality. We hypothesized that artific…
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.…
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…
Atrial Fibrillation Recurrence Risk Prediction from 12-lead ECG Recorded Pre- and Post-Ablation Procedure
Eran Zvuloni, Sheina Gendelman, Sanghamitra Mohanty +3
Introduction: 12-lead electrocardiogram (ECG) is recorded during atrial fibrillation (AF) catheter ablation procedure (CAP). It is not easy to determine if CAP was successful witho…
On Merging Feature Engineering and Deep Learning for Diagnosis, Risk-Prediction and Age Estimation Based on the 12-Lead ECG
Eran Zvuloni, Jesse Read, Antônio H. Ribeiro +2
Objective: Machine learning techniques have been used extensively for 12-lead electrocardiogram (ECG) analysis. For physiological time series, deep learning (DL) superiority to fea…