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 …

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 …

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 …

Strategies to identify muscle fatigue from SEMG during cycling

VP Singh, DK Kumar, D Djuwari, B Polus… - Proceedings of the …, 2004 - ieeexplore.ieee.org
Detection, quantification and analysis of muscle fatigue are crucial in occupational/
rehabilitation and sporting settings. Sports organizations, such as the Australian Institute of …

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 …

Detection of muscle fatigue using wearable (MYO) surface electromyography based control device

TM Nourhan, M Piechnick… - 2017 8th International …, 2017 - ieeexplore.ieee.org
Wearable technology had set to play a major role in solving various problems in medical or
sports applications in sports training, ergonomics, and mostly physical therapy. Surface …

Comparative muscle study fatigue with sEMG signals during the isotonic and isometric tasks for diagnostics purposes

JF Sarmiento, AB Benevides… - … Conference of the …, 2011 - ieeexplore.ieee.org
The study of fatigue is an important tool for diagnostics of disease, sports, ergonomics and
robotics areas. This work deals with the analysis of sEMG most important fatigue muscle …

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 …

Proposed fatigue index for the objective detection of muscle fatigue using surface electromyography and a double-step binary classifier

HM Qassim, WZW Hasan, HR Ramli, HH Harith… - Sensors, 2022 - mdpi.com
The objective detection of muscle fatigue reports the moment at which a muscle fails to
sustain the required force. Such a detection prevents any further injury to the muscle …