Wavelet and Over-Segmentation Elimination Techniques Effect on Automatic Uterine EMG Segmentation Performance / Quality - Archive ouverte HAL Access content directly
Conference Papers Year : 2020

Wavelet and Over-Segmentation Elimination Techniques Effect on Automatic Uterine EMG Segmentation Performance / Quality

(1) , (2) , (2) ,
1
2

Domains

Engineering Sciences [physics] Signal and Image processing

Catherine Marque  : Connect in order to contact the contributor

https://hal.utc.fr/hal-03521779

Submitted on : Tuesday, January 11, 2022-6:11:34 PM

Last modification on : Tuesday, March 15, 2022-3:20:51 AM

Not file

Dates and versions

hal-03521779 , version 1 (11-01-2022)

Identifiers

Cite

Amer Zaylaa, Ahmad Diab, Mohamad Khalil, Catherine Marque. Wavelet and Over-Segmentation Elimination Techniques Effect on Automatic Uterine EMG Segmentation Performance / Quality. 2020 IEEE 5th Middle East and Africa Conference on Biomedical Engineering (MECBME), Oct 2020, Amman, France. pp.1-4, ⟨10.1109/MECBME47393.2020.9265164⟩. ⟨hal-03521779⟩

Export

BibTeX TEI Dublin Core DC Terms EndNote Datacite

Collections

CNRS UNIV-COMPIEGNE BMBI
18 View
0 Download

Altmetric

Share

Gmail Facebook Twitter LinkedIn More