Predicting muscle fatigue during dynamic contractions using wavelet analysis of surface electromyography signal
MJ Shariatzadeh, EH Hafshejani, CJ Mitchell… - Biocybernetics and …, 2023 - Elsevier
Muscle fatigue is defined as a reduction in the capability of muscle to exert force or power.
Although surface electromyography (sEMG) signals during exercise have been used to …
Although surface electromyography (sEMG) signals during exercise have been used to …
[HTML][HTML] On the necessity for biomechanics research in esports
A Dupuy, MJ Campbell, AJ Harrison… - Sports Biomechanics, 2024 - Taylor & Francis
Esports (electronic sports) are defined as organised and competitive video gaming
confrontations (Witkowski, 2012). Esports players either compete against each other directly …
confrontations (Witkowski, 2012). Esports players either compete against each other directly …
[HTML][HTML] Blind Source Separation with Strength Pareto Evolutionary Algorithm 2 (SPEA2) Using Discrete Wavelet Transform
H Celik, N Karaboga - Electronics, 2023 - mdpi.com
This paper presents a new method for separating the mixed audio signals of simultaneous
speakers using Blind Source Separation (BSS). The separation of mixed signals is an …
speakers using Blind Source Separation (BSS). The separation of mixed signals is an …
[HTML][HTML] Improved Parallel Implementation of 1D Discrete Wavelet Transform Using CPU-GPU
E Rodriguez-Martinez, C Benavides-Alvarez… - Electronics, 2023 - mdpi.com
This work describes a data-level parallelization strategy to accelerate the discrete wavelet
transform (DWT) which was implemented and compared in two multi-threaded architectures …
transform (DWT) which was implemented and compared in two multi-threaded architectures …
[HTML][HTML] A new fractional fuzzy dispersion entropy and its application in muscle fatigue detection
B Hu, Y Wang, J Mu - Mathematical Biosciences and Engineering, 2024 - aimspress.com
Recently, fuzzy dispersion entropy (DispEn) has attracted much attention as a new nonlinear
dynamics method that combines the advantages of both DispEn and fuzzy entropy …
dynamics method that combines the advantages of both DispEn and fuzzy entropy …
Biometric Authentication Based on EMG Hand Gestures Signals Using CNN
MI Gursoy - Elektronika ir Elektrotechnika, 2024 - eejournal.ktu.lt
Biometric identification systems are increasingly important today compared to traditional
recognition/classification systems. Electromyography (EMG) signals and person …
recognition/classification systems. Electromyography (EMG) signals and person …
Carpal tunnel syndrome severity, hand discomfort, and usability among three types of computer mouse
Carpal tunnel syndrome severity, hand discomfort, and usability among three types of computer
mouse - IOS Press You are viewing a javascript disabled version of the site. Please enable …
mouse - IOS Press You are viewing a javascript disabled version of the site. Please enable …
Equipment and advances for measuring fatigue in office settings: systematic review protocol: Protocol
SI Pezeshki, JC Guedes, JS Baptista - International Journal of …, 2024 - ijooes.fe.up.pt
Fatigue in humans is a state that reduces activity, ability to perform, or cognitive functions
due to internal sensations such as tiredness, drowsiness, sleepiness, and burnout. It is …
due to internal sensations such as tiredness, drowsiness, sleepiness, and burnout. It is …
Surface Electromyography in the Field of Human Factors and Ergonomic Muscle Fatigue: A Narrative Review
M Fang, Y Kong, J Hu - Advances in Engineering …, 2023 - madison-proceedings.com
EMG Signal Decomposition Methods for Physical Actions: A Comparative Analysis
S Katiyar, I Sharma - … on Circuits, Power and Intelligent Systems …, 2023 - ieeexplore.ieee.org
Advanced approaches are needed for the detection, decomposition, and classification of
EMG data obtained from muscles. This study evaluates three popular decomposition …
EMG data obtained from muscles. This study evaluates three popular decomposition …