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

MR Al-Mulla, F Sepulveda - 2010 International Conference on …, 2010 - ieeexplore.ieee.org
Surface Electromyography (sEMG) activity of the biceps muscle was recorded from nine
subjects. Data were recorded while subjects performed dynamic contraction until fatigue …

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 …, 2010 - ieeexplore.ieee.org
Surface Electromyography (sEMG) activity of the biceps muscle was recorded from ten
subjects performing isometric contraction until fatigue. The signals were segmented into two …

Statistical class separation using sEMG features towards automated muscle fatigue detection and prediction

MR Al-Mulla, F Sepulveda, M Colley… - 2009 2nd International …, 2009 - ieeexplore.ieee.org
Surface Electromyography (sEMG) activity of the biceps muscle was recorded from ten
subjects. Data were recorded while subjects performed isometric contraction until fatigue …

Evolutionary computation extracts a super sEMG feature to classify localized muscle fatigue during dynamic contractions

MR Al-Mulla - 2012 4th Computer Science and Electronic …, 2012 - ieeexplore.ieee.org
This study developed a new muscle fatigue feature based on sEMG signals. The evolved
feature is combining 11 traditional muscle fatigue sEMG parameters to optimally classify the …

Assessing muscle fatigue by measuring the EMG of biceps brachii

D Shaw, CR Huang - 2010 3rd International Conference on …, 2010 - ieeexplore.ieee.org
The purpose of this study is to measure the surface electromyography (sEMG) to assess the
muscle fatigue endurance when doing the forearm contraction exercise. There were six …

Non-invasive electromyography-based fatigue detection and performance analysis on m. biceps brachii muscle

N Ahamed, K Sundaraj, RB Ahmad… - … on Control System …, 2012 - ieeexplore.ieee.org
Muscle fatigue occurs most frequently due to repetitive movements in our day-to-day
activities. The powerful use of muscles might cause a decline in performance. In this study …

Novel feature modelling the prediction and detection of sEMG muscle fatigue towards an automated wearable system

MR Al-Mulla, F Sepulveda - Sensors, 2010 - mdpi.com
Surface Electromyography (sEMG) activity of the biceps muscle was recorded from ten
subjects performing isometric contraction until fatigue. A novel feature (1D spectro_std) was …

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, 2011 - Elsevier
The purpose of this study was to develop an algorithm for automated muscle fatigue
detection in sports related scenarios. Surface electromyography (sEMG) of the biceps …

Classification of localized muscle fatigue with genetic programming on sEMG during isometric contraction

MR Al-Mulla, F Sepulveda, M Colley… - … Conference of the IEEE …, 2009 - ieeexplore.ieee.org
Genetic programming is used to generate a solution that can classify localized muscle
fatigue from filtered and rectified surface electromyography (sEMG). The GP has two …

The relationship between changes in amplitude and instantaneous mean frequency at low and high frequency bands during dynamic contraction

Y Soo, M Sugi, H Yokoi, T Arai… - 2008 2nd …, 2008 - ieeexplore.ieee.org
Surface Electromyography (SEMG) analysis of dynamic contraction is becoming more
important to understand the muscle condition in real life activities. The objective of the study …