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 …

Advances and disturbances in sEMG-based intentions and movements recognition: A review

H Xu, A Xiong - IEEE Sensors Journal, 2021 - ieeexplore.ieee.org
Surface EMG-based gestures recognition systems are helping the disable to enjoy a better
life. Academic institutes and commercial companies have been developing a lot of sEMG …

Causes of performance degradation in non-invasive electromyographic pattern recognition in upper limb prostheses

I Kyranou, S Vijayakumar, MS Erden - Frontiers in neurorobotics, 2018 - frontiersin.org
Surface Electromyography (EMG)-based pattern recognition methods have been
investigated over the past years as a means of controlling upper limb prostheses. Despite …

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 …

Non-invasive Techniques for Muscle Fatigue Monitoring: A Comprehensive Survey

N Li, R Zhou, B Krishna, A Pradhan, H Lee, J He… - ACM Computing …, 2024 - dl.acm.org
Muscle fatigue represents a complex physiological and psychological phenomenon that
impairs physical performance and increases the risks of injury. It is important to continuously …

Using artificial intelligence for pattern recognition in a sports context

AC Nunes Rodrigues, A Santos Pereira… - Sensors, 2020 - mdpi.com
Optimizing athlete's performance is one of the most important and challenging aspects of
coaching. Physiological and positional data, often acquired using wearable devices, have …

Burnout: a wearable system for unobtrusive skeletal muscle fatigue estimation

F Mokaya, R Lucas, HY Noh… - 2016 15th ACM/IEEE …, 2016 - ieeexplore.ieee.org
Skeletal muscles are pivotal for sports and exercise. However, overexertion of skeletal
muscles causes muscle fatigue which can lead to injury. Consequently, understanding …

基于表面肌电的意图识别方法在非理想条件下的研究进展

李自由, 赵新刚, 张弼, 丁其川, 张道辉, 韩建达 - 自动化学报, 2021 - aas.net.cn
在基于表面肌电信号(Surface electromyography, sEMG) 的意图识别研究领域,
目前大多数的研究主要集中在提高肌电识别的准确性方面. 然而, 在实际应用中, 基于sEMG …

Review of sEMG-based motion intent recognition methods in non-ideal conditions

LI Zi-You, Z Xin-Gang, Z Bi, D Qi-Chuan… - Acta Automatica …, 2021 - aas.net.cn
In sEMG (surface electromyography)-based recognition, most studies are currently focusing
on improving recognition accuracies. While in real applications, sEMG-based recognition …

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 …