Multichannel EHG segmentation for automatically identifying contractions and motion artifacts

Amer Zaylaa; Ahmad Diab; Mohamad Khalil; Catherine Marque

doi:10.1109/ICABME.2017.8167563

Conference Papers Year : 2017

Multichannel EHG segmentation for automatically identifying contractions and motion artifacts

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Amer Zaylaa

Function : Author

Biomécanique et Bioingénierie

Ahmad Diab

Function : Author

Doctoral School of Sciences and Technology [Lebanese University]

Mohamad Khalil

Function : Author

Doctoral School of Sciences and Technology [Lebanese University]

Catherine Marque

Function : Author

Biomécanique et Bioingénierie

Domains

Signal and Image processing

Catherine Marque : Connect in order to contact the contributor

https://utc.hal.science/hal-03521884

Submitted on : Tuesday, January 11, 2022-7:06:03 PM

Last modification on : Wednesday, February 7, 2024-3:42:07 PM

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hal-03521884 , version 1 (11-01-2022)

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HAL Id : hal-03521884 , version 1
DOI : 10.1109/ICABME.2017.8167563

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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⟩

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Multichannel EHG segmentation for automatically identifying contractions and motion artifacts

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