Assessing muscle fatigue in multiple sclerosis using the sample entropy of electromyographic signals: A proof of concept

M Gomez-Hernández, N Olaya-Mira… - Journal of Medical …, 2023 - journals.lww.com
Background: Multiple sclerosis (MS) is a progressive and neurodegenerative disease of the
central nervous system. Its symptoms vary greatly, which makes its diagnosis complex …

[PDF][PDF] Comparison of spectral and entropic measures for surface electromyography time series: a pilot study

PS Sung, U Zurcher, M Kaufman - Journal of rehabilitation research …, 2007 - academia.edu
In a previous study, we reported that the mean square displacement calculated from the
surface electromyography (sEMG) signal of low back muscles exhibits a plateaulike …

A novel interpretation of sample entropy in surface electromyographic examination of complex neuromuscular alternations in subacute and chronic stroke

X Tang, X Zhang, X Gao, X Chen… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
The objective of this paper was to develop sample entropy (SampEn) as a novel surface
electromyogram (EMG) biomarker to quantitatively examine post-stroke neuromuscular …

Analysis Of SEMG Signal Complexity Associated with Fatigue Conditions in Biceps Brachii Muscle using Multiscale Approximate Entropy.

M Navaneethakrishna… - Biomedical Sciences …, 2015 - europepmc.org
Muscle fatigue is a neuromuscular condition which causes a decline in muscle performance.
Surface electromyography (sEMG) signals are widely used to evaluate muscle fatigue and …

Spasticity assessment based on the Hilbert–Huang transform marginal spectrum entropy and the root mean square of surface electromyography signals: a preliminary …

B Hu, X Zhang, J Mu, M Wu, Y Wang - Biomedical Engineering Online, 2018 - Springer
Background Most of the objective and quantitative methods proposed for spasticity
measurement are not suitable for clinical application, and methods for surface …

Characterizing the complexity of spontaneous motor unit patterns of amyotrophic lateral sclerosis using approximate entropy

P Zhou, PE Barkhaus, X Zhang… - Journal of Neural …, 2011 - iopscience.iop.org
This paper presents a novel application of the approximate entropy (ApEn) measurement for
characterizing spontaneous motor unit activity of amyotrophic lateral sclerosis (ALS) …

Sample entropy-based surface electromyographic examination with a linear electrode array in survivors with spinal cord injury

L Li, X Wang, B Yao, X Zhang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
This study aimed to evaluate the utility of sample entropy (SampEn) of surface
electromyographic signals (sEMG) in quantifying neuromuscular changes after spinal cord …

Entropy-Based Analysis of Electromyography Signal Complexity During Flexion of the Flexor Carpi Radialis Muscle Under Varied Load Conditions

Katherine, AP Putra, AS Kurniawan… - … Engineering, and Health …, 2023 - Springer
The motor impairments that stroke patients experience as a primary contributor to death and
disability also impact their quality of life. Due to its characteristics as complex muscle …

Reliability difference between spectral and entropic measures of erector spinae muscle fatigability

PS Sung, U Zurcher, M Kaufman - Journal of Electromyography and …, 2010 - Elsevier
This study investigated back muscle fatigability of the erector spinae (ES) muscles during
submaximal contractions with the use of surface electromyography (sEMG). It was important …

Analysis of fatigue in the biceps brachii by using rapid refined composite multiscale sample entropy

S Wang, H Tang, B Wang, J Mo - Biomedical Signal Processing and Control, 2021 - Elsevier
The analysis of human muscle fatigue is of great significance to human physiological
activities. Surface electromyography (sEMG) is the widely used technique to analyze muscle …