Detecting Localised Muscle Fatigue during Isometric Contraction using Genetic Programming. - Ahmed Kattan; Mohammed R. Al-Mulla; Francisco Sepulveda; Riccardo Poli (IJCCI, 2009)

Predicting the time to localized muscle fatigue using ANN and evolved sEMG feature. - Mohammed R. Al-Mulla; Francisco Sepulveda (AIS, 2010)

Novel Feature Modelling the Prediction and Detection of sEMG Muscle Fatigue towards an Automated Wearable System. - Mohammed R. Al-Mulla; Francisco Sepulveda (Sensors, 2010)

An Autonomous Wearable System for Predicting and Detecting Localised Muscle Fatigue. - Mohammed R. Al-Mulla; Francisco Sepulveda; Martin J. Colley (Sensors, 2011)

A Review of Non-Invasive Techniques to Detect and Predict Localised Muscle Fatigue. - Mohammed R. Al-Mulla; Francisco Sepulveda; Martin J. Colley (Sensors, 2011)

Beyond Four Walls: Towards Large-Scale Intelligent Environments. - James Dooley; Matthew Ball; Mohammed R. Al-Mulla (Intelligent Environments (Workshops), 2012)

Introduction to the Proceedings of the 2012 Workshop on Large Scale Intelligent Environments (WOLSIE'12). - James Dooley; Matthew Ball; Mohammed R. Al-Mulla; Víctor González; Rolando Menchaca-Méndez (Intelligent Environments (Workshops), 2012)

Novel Pseudo-Wavelet Function for MMG Signal Extraction during Dynamic Fatiguing Contractions. - Mohammed R. Al-Mulla; Francisco Sepulveda (Sensors, 2014)

Optimal Elbow Angle for MMG Signal Classification of Biceps Brachii during Dynamic Fatiguing Contraction. - Mohammed R. Al-Mulla; Francisco Sepulveda; Mohammad Suoud (IWBBIO (1), 2015)

Optimal Elbow Angle for Extracting sEMG Signals During Fatiguing Dynamic Contraction. - Mohammed R. Al-Mulla; Francisco Sepulveda; Bader Al-Bader (Comput., 2015)

Super Wavelet for sEMG Signal Extraction During Dynamic Fatiguing Contractions. - Mohammed R. Al-Mulla; Francisco Sepulveda (J. Medical Syst., 2015)