Skip to Main content Skip to Navigation
Conference papers

Multichannel EHG segmentation for automatically identifying contractions and motion artifacts

Amer Zaylaa 1 Ahmad Diab 2 Mohamad Khalil 2 Catherine Marque 1
1 BMBI - Biomécanique et Bioingénierie
2 Doctoral School of Sciences and Technology [Lebanese University]
Document type :
Conference papers
Complete list of metadata
https://hal.utc.fr/hal-03521884
Contributor : Catherine Marque Connect in order to contact the contributor
Submitted on : Tuesday, January 11, 2022 - 7:06:03 PM
Last modification on : Wednesday, January 12, 2022 - 3:47:26 AM

Links full text

openaccess

Identifiers

Collections

UNIV-COMPIEGNE | BMBI | CNRS

Citation

Amer Zaylaa, Ahmad Diab, Mohamad Khalil, Catherine Marque. Multichannel EHG segmentation for automatically identifying contractions and motion artifacts. 2017 Fourth International Conference on Advances in Biomedical Engineering (ICABME), Oct 2017, Beirut, France. pp.1-4, ⟨10.1109/ICABME.2017.8167563⟩. ⟨hal-03521884⟩

Export

BibTeX TEI DC DCterms EndNote

Share

Metrics

Les métriques sont temporairement indisponibles