81 citations · 186 across the 20 of their papers we have counts for
21 papers
Robust peak detection for photoplethysmography signal analysis
Márton Á. Goda, Peter H. Charlton, Joachim A. Behar
Efficient and accurate evaluation of long-term photoplethysmography (PPG) recordings is essential for both clinical assessments and consumer products. In 2021, the top opensource p…
Case Study: Fetal Breathing Movements as a Proxy for Fetal Lung Maturity Estimation
Márton Á. Goda, Ron Beloosesky, Chen Ben David +2
Premature births can lead to complications, with fetal lung immaturity being a primary concern. Currently, fetal lung maturity (FLM) requires an invasive surfactant extraction proc…
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…
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…
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…