| 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 | 405 | 2011 |
| An autonomous wearable system for predicting and detecting localised muscle fatigue MR Al-Mulla, F Sepulveda, M Colley Sensors 11 (2), 1542-1557, 2011 | 63 | 2011 |
| 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 | 50 | 2017 |
| 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 | 41 | 2009 |
| 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 | 38 | 2010 |
| 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 | 38 | 2009 |
| 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 | 33 | 2011 |
| Novel Pseudo-Wavelet function for MMG signal extraction during dynamic fatiguing contractions MR Al-Mulla, F Sepulveda Sensors 14 (6), 9489-9504, 2014 | 18 | 2014 |
| 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 | 15 | 2010 |
| 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 | 15 | 2009 |
| 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 | 12 | 2010 |
| Super wavelet for sEMG signal extraction during dynamic fatiguing contractions MR Al-Mulla, F Sepulveda Journal of medical systems 39, 1-9, 2015 | 11 | 2015 |
| 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 | 11 | 2012 |
| 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 | 9 | 2021 |
| sEMG techniques to detect and predict localised muscle fatigue F Sepulveda, M Colley EMG methods for evaluating muscle and nerve function, 157-186, 2012 | 9 | 2012 |
| Wearable devices for improved health care systems based on biomedical technology MR Al-Mulla Journal of Biomedical Systems & Emerging Technologies 3 (1), 1, 2016 | 4 | 2016 |
| 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 | 4 | 2015 |
| Beyond Four Walls: Towards Large-Scale Intelligent Environments J DOOLEY, M BALL, MR AL-MULLA | 3 | 2012 |
| 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 | 2 | 2015 |
| 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 | 1 | 2019 |
Fahd Al-MullaDasman Diabetes Institute在 al-mulla.org 的电子邮件经过验证
