Mohammed R. Al-Mulla

According to our database, Mohammed R. Al-Mulla authored at least 11 papers between 2009 and 2015.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2015

Super Wavelet for sEMG Signal Extraction During Dynamic Fatiguing Contractions.

Mohammed R. Al-Mulla, Francisco Sepulveda

J. Medical Syst., 2015

Optimal Elbow Angle for Extracting sEMG Signals During Fatiguing Dynamic Contraction.

Mohammed R. Al-Mulla, Francisco Sepulveda, Bader Al-Bader

Comput., 2015

Optimal Elbow Angle for MMG Signal Classification of Biceps Brachii during Dynamic Fatiguing Contraction.

Mohammed R. Al-Mulla, Francisco Sepulveda, Mohammad Suoud

Proceedings of the Bioinformatics and Biomedical Engineering, 2015

2014

Novel Pseudo-Wavelet Function for MMG Signal Extraction during Dynamic Fatiguing Contractions.

Mohammed R. Al-Mulla, Francisco Sepulveda

Sensors, 2014

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

Proceedings of the Workshop Proceedings of the 8th International Conference on Intelligent Environments, 2012

Beyond Four Walls: Towards Large-Scale Intelligent Environments.

James Dooley, Matthew Ball, Mohammed R. Al-Mulla

Proceedings of the Workshop Proceedings of the 8th International Conference on Intelligent Environments, 2012

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

An Autonomous Wearable System for Predicting and Detecting Localised Muscle Fatigue.

Mohammed R. Al-Mulla, Francisco Sepulveda, Martin J. Colley

Sensors, 2011

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

Predicting the time to localized muscle fatigue using ANN and evolved sEMG feature.

Mohammed R. Al-Mulla, Francisco Sepulveda

Proceedings of the Autonomous and Intelligent Systems - First International Conference, 2010

2009

Detecting Localised Muscle Fatigue during Isometric Contraction using Genetic Programming.

Ahmed Kattan, Mohammed R. Al-Mulla, Francisco Sepulveda, Riccardo Poli

Proceedings of the IJCCI 2009, 2009