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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|January 7, 2016
Classification of pregnancy and labor contractions using a graph theory based analysisN Nader, M Hassan, W Falou, 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.
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
Detecting labor using graph theory on connectivity matrices of uterine EMGS Al-Omar, A Diab, N Nader, 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
Quantitative performance analysis of four methods of evaluating signal nonlinearity: application to uterine EMG signalsA Diab, M Hassan, 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|October 11, 2013
Nonlinear estimation of coupling and directionality between signals: application to uterine EMG propagationA Diab, M Hassan, S Boudaoud, et al.
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
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
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
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.
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