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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
3952011
An autonomous wearable system for predicting and detecting localised muscle fatigue
MR Al-Mulla, F Sepulveda, M Colley
Sensors 11 (2), 1542-1557, 2011
632011
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, 1-12, 2017
502017
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
412009
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
382010
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
372009
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
182014
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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