Machine Learning for Ranking f-wave Extraction Methods in Single-Lead ECGs

no code implementations • 17 Jul 2023 • Noam Ben-Moshe, Shany Biton, Kenta Tsutsui, Mahmoud Suleiman, Leif Sörnmo, Joachim A. Behar

The approach is well-suited for processing large Holter data sets annotated with respect to the presence of AF.

Benchmarking

Estimation of f-wave Dominant Frequency Using a Voting Scheme

no code implementations • 23 Aug 2022 • Shany Biton, Mahmoud Suleiman, Noam Ben Moshe, Leif Sörnmo, Joachim A. Behar

Using these three algorithms in a voting scheme, the classifier obtained AUC=0. 60 and the DAFs were mostly spread around 6 Hz, 5. 66 (4. 83-7. 47).

Generalizable and Robust Deep Learning Algorithm for Atrial Fibrillation Diagnosis Across Ethnicities, Ages and Sexes

no code implementations • 20 Jul 2022 • Shany Biton, Mohsin Aldhafeeri, Erez Marcusohn, Kenta Tsutsui, Tom Szwagier, Adi Elias, Julien Oster, Jean Marc Sellal, Mahmoud Suleiman, Joachim A. Behar

This retrospective study is, to the best of our knowledge, the first to develop and assess the generalization performance of a deep learning (DL) model for AF events detection from long term beat-to-beat intervals across ethnicities, ages and sexes.