scholarly journals Transverse anisotropy in the deformation of the muscle during dynamic contractions

2018 ◽  
Vol 221 (15) ◽  
pp. jeb175794 ◽  
Author(s):  
Avleen Randhawa ◽  
James M. Wakeling
1989 ◽  
Vol 22 (2) ◽  
pp. 157-164 ◽  
Author(s):  
Naoki Sasaki ◽  
Norio Matsushima ◽  
Tetsu Ikawa ◽  
Hidemi Yamamura ◽  
Akeharu Fukuda

2008 ◽  
Vol 44 (11) ◽  
pp. 3863-3866 ◽  
Author(s):  
D. de Cos ◽  
J.M. Barandiaran ◽  
A. Garcia-Arribas ◽  
V.O. Vas'kovskiy ◽  
G.V. Kurlyandskaya

Author(s):  
Lakshmi M Hari ◽  
Gopinath Venugopal ◽  
Swaminathan Ramakrishnan

In this study, the dynamic contractions and the associated fatigue condition in biceps brachii muscle are analysed using Synchrosqueezed Wavelet Transform (SST) and singular value features of surface Electromyography (sEMG) signals. For this, the recorded signals are decomposed into time-frequency matrix using SST. Two analytic functions namely Morlet and Bump wavelets are utilised for the analysis. Singular Value Decomposition method is applied to this time-frequency matrix to derive the features such as Maximum Singular Value (MSV), Singular Value Entropy (SVEn) and Singular Value Energy (SVEr). The results show that both these wavelets are able to characterise nonstationary variations in sEMG signals during dynamic fatiguing contractions. Increase in values of MSV and SVEr with the progression of fatigue denotes the presence of nonstationarity in the sEMG signals. The lower values of SVEn with the progression of fatigue indicate the randomness in the signal. Thus, it appears that the proposed approach could be used to characterise dynamic muscle contractions under varied neuromuscular conditions.


Electronics ◽  
2019 ◽  
Vol 8 (6) ◽  
pp. 619 ◽  
Author(s):  
Sandra De la Peña ◽  
Aura Polo ◽  
Carlos Robles-Algarín

Surface electromyography (sEMG) applied to the sports training area makes possible the observation of fatigue as well as the generation of muscular strength, through the study of changes in signal characteristics, such as peak-to-peak amplitude, mean frequency and median, among others. In this sense, this work presents the design of a portable prototype for the acquisition and processing of electromyographic (EMG) signals aimed at the detection of muscle fatigue in athletes. Using two Bluetooth Bee modules, a wireless communication was performed in order to send the muscular electrical activity of the skin surface to a user interface developed in LabVIEW. A group of players from the Volleyball team of the Universidad del Magdalena, performed a series of exercise routines with dynamic contractions and as they experienced fatigue, samples were taken of the contractions made. The tests were performed on the vastus lateralis and rectus femoris muscles. The analysis of fatigue under dynamic conditions of the two parameters studied, in frequency and time, showed that it is more pertinent to estimate fatigue indices in the frequency domain.


2004 ◽  
Vol 272-276 ◽  
pp. E745-E747 ◽  
Author(s):  
M Heu ◽  
S.W Yoon ◽  
W.S Jeon ◽  
D.-Y Jung ◽  
B.J Suh ◽  
...  

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