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Journal of Medical Systems|December 21, 2014
Super wavelet for sEMG signal extraction during dynamic fatiguing contractionsMohamed R Al-Mulla, Francisco SepulvedaSensors (Basel, Switzerland)|March 9, 2012
Novel feature modelling the prediction and detection of sEMG muscle fatigue towards an automated wearable systemMohamed R Al-Mulla, Francisco SepulvedaSensors (Basel, Switzerland)|December 14, 2011
A review of non-invasive techniques to detect and predict localised muscle fatigueMohamed R Al-Mulla, Francisco Sepulveda, Martin ColleyMedical Engineering & Physics|January 25, 2011
Evolved pseudo-wavelet function to optimally decompose sEMG for automated classification of localized muscle fatigueMohamed R Al-Mulla, Francisco Sepulveda, M ColleySensors (Basel, Switzerland)|February 10, 2012
An autonomous wearable system for predicting and detecting localised muscle fatigueMohamed R Al-Mulla, Francisco Sepulveda, Martin ColleyBMC Medical Genomics|February 17, 2017
Next-generation sequencing in familial breast cancer patients from LebanonNadine Jalkh, Eliane Chouery, Zahraa Haidar, et al.Pageof 1