[HTML][HTML] A review of non-invasive techniques to detect and predict localised muscle fatigue

MR Al-Mulla, F Sepulveda, M Colley - Sensors, 2011 - mdpi.com
Muscle fatigue is an established area of research and various types of muscle fatigue have
been investigated in order to fully understand the condition. This paper gives an overview of …

Surface electromyography based muscle fatigue detection using high-resolution time-frequency methods and machine learning algorithms

PA Karthick, DM Ghosh, S Ramakrishnan - Computer methods and …, 2018 - Elsevier
Background and objective Surface electromyography (sEMG) based muscle fatigue
research is widely preferred in sports science and occupational/rehabilitation studies due to …

A novel approach to detecting muscle fatigue based on sEMG by using neural architecture search framework

S Wang, H Tang, B Wang, J Mo - IEEE Transactions on Neural …, 2021 - ieeexplore.ieee.org
Muscle fatigue detection is of great significance to human physiological activities, but many
complex factors increase the difficulty of this task. In this article, we integrate several effective …

[HTML][HTML] Electromyographic patterns during golf swing: Activation sequence profiling and prediction of shot effectiveness

A Verikas, E Vaiciukynas, A Gelzinis, J Parker… - Sensors, 2016 - mdpi.com
This study analyzes muscle activity, recorded in an eight-channel electromyographic (EMG)
signal stream, during the golf swing using a 7-iron club and exploits information extracted …

[HTML][HTML] 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 …

Analysis of muscle fatigue progression using cyclostationary property of surface electromyography signals

PA Karthick, G Venugopal, S Ramakrishnan - Journal of medical systems, 2016 - Springer
Abstract Analysis of neuromuscular fatigue finds various applications ranging from clinical
studies to biomechanics. Surface electromyography (sEMG) signals are widely used for …

Muscle fatigue analysis in isometric contractions using geometric features of surface electromyography signals

PA Karthick, S Ramakrishnan - Biomedical Signal Processing and …, 2021 - Elsevier
In this study, an attempt has been made to differentiate the muscle nonfatigue and fatigue
conditions using geometric features of surface Electromyography (sEMG) signals. For this …

Variational mode decomposition based differentiation of fatigue conditions in muscles using surface electromyography signals

DB Krishnamani, K PA… - IET Signal Processing, 2020 - Wiley Online Library
Surface electromyography (sEMG) signals are stochastic, multicomponent and non‐
stationary, and therefore their interpretation is challenging. In this study, an attempt has been …

A wireless surface EMG acquisition and gesture recognition system

ZW Wu, XO Li - 2016 9th International Congress on Image and …, 2016 - ieeexplore.ieee.org
In order to recognize the hand gesture and provide the application in human interaction and
rehabilitation training, we designed a system based on wireless surface electromyography …

[HTML][HTML] Novel Pseudo-Wavelet function for MMG signal extraction during dynamic fatiguing contractions

MR Al-Mulla, F Sepulveda - Sensors, 2014 - mdpi.com
The purpose of this study was to develop an algorithm to classify muscle fatigue content in
sports related scenarios. Mechanomyography (MMG) signals of the biceps muscle were …