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R Halabi
M O Diab
B Moslem
M Khalil
C Marque

Showing results (1-10 of 1,301) with videos related to

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|February 1, 2013
Cross-correlation analysis of multichannel uterine EMG signalsR Halabi, M O Diab, B Moslem, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|February 1, 2013
Detecting missing signals in multichannel recordings by using higher order statisticsR Halabi, M O Diab, B Moslem, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 19, 2012
Classification of multichannel uterine EMG signalsB Moslem, M O Diab, C Marque, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 25, 2010
Complexity analysis of the uterine electromyographyB Moslem, M Khalil, C Marque, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 19, 2012
Classification performance of the frequency-related parameters derived from uterine EMG signalsB Moslem, B Karlsson, M O Diab, et al.
Conference Proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference|February 3, 2007
An unsupervised classification method of uterine electromyography signals using wavelet decompositionM O Diab, C Marque, M Khalil
The Journal of Obstetrics and Gynaecology Research|February 14, 2009
An unsupervised classification method of uterine electromyography signals: classification for detection of preterm deliveriesM O Diab, C Marque, M Khalil
Computational and Mathematical Methods in Medicine|January 24, 2014
Comparison of different EHG feature selection methods for the detection of preterm laborD Alamedine, M Khalil, C Marque
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 7, 2016
Sensors' Ground Reaction Force behavior for both Normal and Parkinson subjects--A qualitative studyR Alkhatib, C Corbier, M El Badaoui, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 9, 2017
A node-wise analysis of the uterine muscle networks for pregnancy monitoringN Nader, M Hassan, W Falou, et al.
Pageof 131

Showing results (1-10 of 1,301) with videos related to

Sort By:
Pageof 131
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|February 1, 2013
Cross-correlation analysis of multichannel uterine EMG signalsR Halabi, M O Diab, B Moslem, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|February 1, 2013
Detecting missing signals in multichannel recordings by using higher order statisticsR Halabi, M O Diab, B Moslem, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 19, 2012
Classification of multichannel uterine EMG signalsB Moslem, M O Diab, C Marque, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 25, 2010
Complexity analysis of the uterine electromyographyB Moslem, M Khalil, C Marque, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 19, 2012
Classification performance of the frequency-related parameters derived from uterine EMG signalsB Moslem, B Karlsson, M O Diab, et al.
Conference Proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference|February 3, 2007
An unsupervised classification method of uterine electromyography signals using wavelet decompositionM O Diab, C Marque, M Khalil
The Journal of Obstetrics and Gynaecology Research|February 14, 2009
An unsupervised classification method of uterine electromyography signals: classification for detection of preterm deliveriesM O Diab, C Marque, M Khalil
Computational and Mathematical Methods in Medicine|January 24, 2014
Comparison of different EHG feature selection methods for the detection of preterm laborD Alamedine, M Khalil, C Marque
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 7, 2016
Sensors' Ground Reaction Force behavior for both Normal and Parkinson subjects--A qualitative studyR Alkhatib, C Corbier, M El Badaoui, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 9, 2017
A node-wise analysis of the uterine muscle networks for pregnancy monitoringN Nader, M Hassan, W Falou, et al.
Pageof 131