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ORCIDMohammed R. Al-Mulla
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2010 – 2019
- 2015
[j6]Mohammed R. Al-Mulla, Francisco Sepulveda, Bader Al-Bader:
Optimal Elbow Angle for Extracting sEMG Signals During Fatiguing Dynamic Contraction. Comput. 4(3): 251-264 (2015)- [j5]Mohammed R. Al-Mulla, Francisco Sepulveda:
Super Wavelet for sEMG Signal Extraction During Dynamic Fatiguing Contractions. J. Medical Syst. 39(1): 167 (2015) - [c5]Mohammed R. Al-Mulla, Francisco Sepulveda, Mohammad Suoud:
Optimal Elbow Angle for MMG Signal Classification of Biceps Brachii during Dynamic Fatiguing Contraction. IWBBIO (1) 2015: 303-314 - 2014
- [j4]Mohammed R. Al-Mulla, Francisco Sepulveda:
Novel Pseudo-Wavelet Function for MMG Signal Extraction during Dynamic Fatiguing Contractions. Sensors 14(6): 9489-9504 (2014) - 2012
- [c4]James Dooley, Matthew Ball, Mohammed R. Al-Mulla, Víctor González, Rolando Menchaca-Méndez:
Introduction to the Proceedings of the 2012 Workshop on Large Scale Intelligent Environments (WOLSIE'12). Intelligent Environments (Workshops) 2012: 157 - [c3]James Dooley, Matthew Ball, Mohammed R. Al-Mulla:
Beyond Four Walls: Towards Large-Scale Intelligent Environments. Intelligent Environments (Workshops) 2012: 158-168 - [e1]Juan A. Botía, Hedda Rahel Schmidtke, Tatsuo Nakashima, Mohammed R. Al-Mulla, Juan Carlos Augusto, Asier Aztiria, Matthew Ball, Victor Callaghan, Diane J. Cook, James Dooley, John O'Donoghue, Simon Egerton, Pablo A. Haya, Miguel J. Hornos, Eduardo Morales, Juan Carlos Orozco, Otniel Portillo-Rodríguez, Alejandro Rodríguez González, Oscar Sandoval, Paolo Tripicchio, Minjuan Wang, Víctor Zamudio:
Workshop Proceedings of the 8th International Conference on Intelligent Environments, Guanajuato, Mexico, June 26-29, 2012. Ambient Intelligence and Smart Environments 13, IOS Press 2012, ISBN 978-1-61499-079-6 [contents] - 2011
- [j3]Mohammed R. Al-Mulla, Francisco Sepulveda, Martin J. Colley:
An Autonomous Wearable System for Predicting and Detecting Localised Muscle Fatigue. Sensors 11(2): 1542-1557 (2011) - [j2]Mohammed R. Al-Mulla, Francisco Sepulveda, Martin J. Colley:
A Review of Non-Invasive Techniques to Detect and Predict Localised Muscle Fatigue. Sensors 11(4): 3545-3594 (2011) - 2010
- [j1]Mohammed R. Al-Mulla, Francisco Sepulveda:
Novel Feature Modelling the Prediction and Detection of sEMG Muscle Fatigue towards an Automated Wearable System. Sensors 10(5): 4838-4854 (2010) - [c2]Mohammed R. Al-Mulla, Francisco Sepulveda:
Predicting the time to localized muscle fatigue using ANN and evolved sEMG feature. AIS 2010: 1-6
2000 – 2009
- 2009
- [c1]Ahmed Kattan, Mohammed R. Al-Mulla, Francisco Sepulveda, Riccardo Poli:
Detecting Localised Muscle Fatigue during Isometric Contraction using Genetic Programming. IJCCI 2009: 292-297
Coauthor Index
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