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 …

Evaluation of decomposition parameters for high-density surface electromyogram using fast independent component analysis algorithm

L Meng, Q Chen, X Jiang, X Liu, J Fan, C Dai… - … Signal Processing and …, 2022 - Elsevier
The surface electromyogram (sEMG) signal reveals the electrical neuromuscular activities
and offers theoretical and clinical information. Recently, exploring motoneuron discharge …

Age-sensitive high density surface electromyogram indices for detecting muscle fatigue using core shape modelling

B Krishnan, S Zanelli, S Boudaoud… - … Signal Processing and …, 2023 - Elsevier
The purpose of this preliminary study was to examine age-sensitive High Density surface
Electromyogram (HD-sEMG) features by Core Shape Modelling (CSM) method. Fatiguing …

Firing behavior of single motor units of the tibialis anterior in human walking as non-invasively revealed by HDsEMG decomposition

H Yokoyama, N Kaneko, A Sasaki… - Journal of Neural …, 2022 - iopscience.iop.org
Objective. Investigation of the firing behavior of motor units (MUs) provides essential
neuromuscular control information because MUs are the smallest organizational component …

Dual-Layer Ranking Feature Selection Method Based on Statistical Formula for Driver Fatigue Detection of EMG Signals.

F Naim, M Mustafa, N Sulaiman… - Traitement du …, 2022 - search.ebscohost.com
Electromyography (EMG) signals are one of the most studied inputs for driver drowsiness
detection systems. As the number of EMG features available can be daunting, finding the …

[HTML][HTML] Analysis of Wavelet Coherence in Calf Agonist-Antagonist Muscles during Dynamic Fatigue

X Ni, L Ieong, M Xiang, Y Liu - Life, 2024 - mdpi.com
Dynamic muscle fatigue during repetitive movements can lead to changes in communication
between the central nervous system and peripheral muscles. This study investigated these …

[HTML][HTML] Reducing electrocardiographic interference in the multichannel electromyogram to help muscle fatigue assessment in low-intensity contractions

JDC Junior, JM de Seixas - Franklin Open, 2024 - Elsevier
Surface electromyography (EMG) can be used in the rehabilitation of musculoskeletal
disorders, for evaluating the coordination of muscles that stabilize a joint, or as an objective …

Design of a Wireless Distributed Real-time Muscle Fatigue Detection System

Y Song, H Yin, X Wang, C Sun, Y Ma… - … Circuits and Systems …, 2022 - ieeexplore.ieee.org
Muscle fatigue is an important issue in the field of sports science and rehabilitation medicine
and has a great impact on human health and maintenance of normal functioning …

Research on Gamified Design of Introductory Core Muscle Training

D Yang, J Lu, X Liu, H Tang - International Conference on Human …, 2023 - Springer
This study sought to evaluate the effectiveness of gamified design as a means of
introductory core muscle training. A gamified design session incorporated surface …

Linear spectrum and non-linear complexity features of lumbar muscle surface electromyography between people with and without non-specific chronic low back pain …

A Hua, J Bai, Z Hao, Y Yang, R Zhang… - … of Electromyography and …, 2023 - Elsevier
Purpose This study aimed to investigate the electromyographic parameters of lumbar
muscles during the Biering-Sorensen test (BST) in people with and without non-specific …