Pregnancy Labor Characterization and Classification Using Nonlinear Methods

Mouhamad Mourad; Ahmad Diab; Mohammad Khalil; Catherine Marque

doi:10.1109/ICABME47164.2019.8940330

Conference Papers Year : 2019

Pregnancy Labor Characterization and Classification Using Nonlinear Methods

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Mouhamad Mourad

Function : Author

Doctoral School of Sciences and Technology [Lebanese University]

Ahmad Diab

Function : Author

Doctoral School of Sciences and Technology [Lebanese University]

Mohammad 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-03521893

Submitted on : Tuesday, January 11, 2022-7:12:39 PM

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

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hal-03521893 , version 1 (11-01-2022)

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HAL Id : hal-03521893 , version 1
DOI : 10.1109/ICABME47164.2019.8940330

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Mouhamad Mourad, Ahmad Diab, Mohammad Khalil, Catherine Marque. Pregnancy Labor Characterization and Classification Using Nonlinear Methods. 2019 Fifth International Conference on Advances in Biomedical Engineering (ICABME), Oct 2019, Tripoli, France. pp.1-4, ⟨10.1109/ICABME47164.2019.8940330⟩. ⟨hal-03521893⟩

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Pregnancy Labor Characterization and Classification Using Nonlinear Methods

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