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 …

Hybrid human-machine interface for gait decoding through Bayesian fusion of EEG and EMG classifiers

S Tortora, L Tonin, C Chisari, S Micera… - Frontiers in …, 2020 - frontiersin.org
Despite the advances in the field of brain computer interfaces (BCI), the use of the sole
electroencephalography (EEG) signal to control walking rehabilitation devices is currently …

Real-time forecasting of sEMG features for trunk muscle fatigue using machine learning

A Moniri, D Terracina… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
Objective: Several features of the surface electromyography (sEMG) signal are related to
muscle activity and fatigue. However, the time-evolution of these features are non-stationary …

Water-retentive, 3D knitted textile electrode for long-term and motion state bioelectrical signal acquisition

J Zhao, J Deng, W Liang, L Zhao, Y Dong… - … Science and Technology, 2022 - Elsevier
The detection and conversion of physiological responses to electrical signals in long-term
and dynamic measurement conditions are essential for the operation of health monitoring …

Is the use of a low-cost sEMG sensor valid to measure muscle fatigue?

SFD Toro, S Santos-Cuadros, E Olmeda… - Sensors, 2019 - mdpi.com
Injuries caused by the overstraining of muscles could be prevented by means of a system
which detects muscle fatigue. Most of the equipment used to detect this is usually expensive …

Fatigue detection during sit-to-stand test based on surface electromyography and acceleration: a case study

C Roldán Jiménez, P Bennett, A Ortiz García… - Sensors, 2019 - mdpi.com
The latest studies of the 30-second sit-to-stand (30-STS) test aim to describe it by employing
kinematic variables, muscular activity, or fatigue through electromyography (EMG) instead of …

Development of automatic controlled walking assistive device based on fatigue and emotion detection

Y Li, Y Gong, JR Zhuang, J Yang, K Osawa… - Journal of Robotics …, 2022 - jstage.jst.go.jp
The world's aging population is increasing. The number of elderly individuals having
walking impairments is also increasing. Adequate exercise is becoming necessary for them …

An autonomous wearable system for predicting and detecting 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 clinically investigated in order to fully understand the condition. This paper …

Mechanomyography-based muscle fatigue detection during electrically elicited cycling in patients with spinal cord injury

J Naeem, NA Hamzaid, MA Islam, AW Azman… - Medical & biological …, 2019 - Springer
Patients with spinal cord injury (SCI) benefit from muscle training with functional electrical
stimulation (FES). For safety reasons and to optimize training outcome, the fatigue state of …

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 …