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M. R. Al-Mulla
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Cited by
Year
A review of non-invasive techniques to detect and predict localised muscle fatigue
MR Al-Mulla, F Sepulveda, M Colley
Sensors 11 (4), 3545-3594, 2011
3932011
An autonomous wearable system for predicting and detecting localised muscle fatigue
MR Al-Mulla, F Sepulveda, M Colley
Sensors 11 (2), 1542-1557, 2011
652011
Next-generation sequencing in familial breast cancer patients from Lebanon
N Jalkh, E Chouery, Z Haidar, C Khater, D Atallah, H Ali, MJ Marafie, ...
BMC Medical Genomics 10 (1), 1-12, 2017
512017
Statistical class separation using sEMG features towards automated muscle fatigue detection and prediction
MR Al-Mulla, F Sepulveda, M Colley, F Al-Mulla
2009 2nd International Congress on Image and Signal Processing, 1-5, 2009
422009
Classification of localized muscle fatigue with genetic programming on sEMG during isometric contraction
MR Al-Mulla, F Sepulveda, M Colley, A Kattan
2009 Annual International Conference of the IEEE Engineering in Medicine and …, 2009
382009
Novel feature modelling the prediction and detection of semg muscle fatigue towards an automated wearable system
MR Al-Mulla, F Sepulveda
Sensors 10 (5), 4838-4854, 2010
372010
Evolved pseudo-wavelet function to optimally decompose sEMG for automated classification of localized muscle fatigue
MR Al-Mulla, F Sepulveda, M Colley
Medical engineering & physics 33 (4), 411-417, 2011
332011
Novel Pseudo-Wavelet function for MMG signal extraction during dynamic fatiguing contractions
MR Al-Mulla, F Sepulveda
Sensors 14 (6), 9489-9504, 2014
172014
Detecting localised muscle fatigue during isometric contraction using genetic programming
A Kattan, M Al-Mulla, F Sepulveda, R Poli
International Conference on Evolutionary Computation 2, 292-295, 2009
152009
A novel feature assisting in the prediction of sEMG muscle fatigue towards a wearable autonomous system
MR Al-Mulla, F Sepulveda
2010 IEEE 16th International Mixed-Signals, Sensors and Systems Test …, 2010
142010
Predicting the time to localized muscle fatigue using ANN and evolved sEMG feature
MR Al-Mulla, F Sepulveda
2010 International Conference on Autonomous and Intelligent Systems, AIS …, 2010
122010
Super wavelet for sEMG signal extraction during dynamic fatiguing contractions
MR Al-Mulla, F Sepulveda
Journal of medical systems 39, 1-9, 2015
112015
Evolutionary computation extracts a super sEMG feature to classify localized muscle fatigue during dynamic contractions
MR Al-Mulla
2012 4th Computer Science and Electronic Engineering Conference (CEEC), 220-224, 2012
112012
Early insight into antibody-dependent enhancement after SARS-CoV-2 mRNA vaccination
A Hasan, MR Al-Mulla, J Abubaker, F Al-Mulla
Human Vaccines & Immunotherapeutics 17 (11), 4121-4125, 2021
92021
sEMG techniques to detect and predict localised muscle fatigue
F Sepulveda, MR Al-mulla, M Colley
EMG methods for evaluating muscle and nerve function, 157-186, 2012
92012
Wearable devices for improved health care systems based on biomedical technology
MR Al-Mulla
Journal of Biomedical Systems & Emerging Technologies 3 (1), 1, 2016
52016
Optimal elbow angle for extracting sEMG signals during fatiguing dynamic contraction
MR Al-Mulla, F Sepulveda, B Al-Bader
Computers 4 (3), 251-264, 2015
42015
Beyond Four Walls: Towards Large-Scale Intelligent Environments
J DOOLEY, M BALL, MR AL-MULLA
32012
Optimal elbow angle for MMG signal classification of biceps brachii during dynamic fatiguing contraction
MR Al-Mulla, F Sepulveda, M Suoud
Bioinformatics and Biomedical Engineering: Third International Conference …, 2015
22015
A comparison of sEMG and MMG signal classification for automated muscle fatigue detection
MR Al-Mulla, F Sepulveda
International Journal of Biomedical Engineering and Technology 30 (3), 277-293, 2019
12019
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