scholarly journals Alterations in Surface Electromyography of the Upper Leg Muscles at Specified Respiratory Exchange Ratio Thresholds Ranges During a Maximal Exercise Test

2021 ◽  
Vol 1 (1) ◽  
Author(s):  
Olivia Cooper

Introduction: Assessing muscle electromyography (EMG) in conjunction with physiological alterations to exercise may be valuable to determine a more holistic approach to exercise-induced fatigue. Methods: Thirteen, recreationally trained individuals (n = 7 female, n = 6 males) underwent a maximal exercise test. Throughout the test, physiological variables were measured in addition to surface electromyography (sEMG) of the upper legs. Physiological and sEMG data was then grouped in to four category thresholds based on respiratory exchange ratios (RER) greater than 0.95. Results: There was a main effect of group (p < 0.001) as an increase in exercise intensity assessed by RER threshold ranges resulted in a subsequent reductions in sEMG frequencies with the exception of the sEMG frequencies recorded at VO2peak (p < 0.055). Conclusions: Upper leg sEMG frequencies decrease with increases in high intensity exercise, with the exception of near maximal loads.

2021 ◽  
Vol 1 (1) ◽  
Author(s):  
Gabriel J. Sanders ◽  
Collin Herb ◽  
Roger O. Kollock ◽  
Ashley Bealka ◽  
Olivia Niemi ◽  
...  

Introduction: The purpose of the study was to assess the relationship between upper leg muscle fatigue and physiological fatigue during a maximal exercise test. Methods: A total of 13, trained athletes participated and were tested for maximal oxygen uptake (VO2peak). Throughout the test, oxygen uptake respiratory exchange ratio (RER), and heart rate (HR) were recorded simultaneously with surface electromyography (sEMG) electrodes utilizing wearable sEMG compression short technology. Results: During the maximal exercise test, there were significant positive relationships between Muscle Load and all physiological measures (p < 0.001 for all) and significant negative relationships between sEMG frequency and Muscle Load and all physiological measures of fatigue (p < 0.001 for all). Conclusions: Using sEMG wearable compression short technology may be a useful way to measure and monitor muscle strain and fatigue, primarily outside of a laboratory setting. 


2015 ◽  
Vol 17 (1) ◽  
pp. 37-44 ◽  
Author(s):  
Anita G.M. Wisén ◽  
Pan Mao ◽  
Leif Christiansen ◽  
Bengt Saltin

1977 ◽  
Vol 9 (1) ◽  
pp. 75 ◽  
Author(s):  
M. D. Glese ◽  
R. J. Corliss ◽  
F. J. Nagle ◽  
T. A. Forman ◽  
Michael Glese

Thorax ◽  
2014 ◽  
Vol 69 (Suppl 2) ◽  
pp. A167-A168
Author(s):  
K. Bayfield ◽  
M. McGovern ◽  
A. Simpson ◽  
M. Embley ◽  
S. Cunningham ◽  
...  

2011 ◽  
Vol 27 (1) ◽  
Author(s):  
Łucja Pilaczyńska-Szcześniak ◽  
Damian Lisiecki ◽  
Zbigniew Kasprzak ◽  
Joanna Karolkiewicz ◽  
Ewa Śliwicka ◽  
...  

2017 ◽  
Vol 15 (5) ◽  
pp. 252-257 ◽  
Author(s):  
Pawel Niedzwiecki ◽  
Dariusz Naskret ◽  
Stanislaw Pilacinski ◽  
Maciej Pempera ◽  
Aleksandra Uruska ◽  
...  

2020 ◽  
Vol 15 (8) ◽  
pp. 1156-1167 ◽  
Author(s):  
Gustavo Monnerat ◽  
Carlos A.R. Sánchez ◽  
Caleb G.M. Santos ◽  
Dailson Paulucio ◽  
Rodolfo Velasque ◽  
...  

Purpose: High cardiorespiratory capacity is a key determinant of human performance and life expectancy; however, the underlying mechanisms are not fully understood. The objective of this pilot study was to investigate biochemical signatures of endurance-performance athletes using high-resolution nontargeted metabolomics. Methods: Elite long-distance runners with similar training and anthropometrical records were studied. After athletes’ maximal oxygen consumption () was measured, they were divided into 2 groups: low (<65 mL·kg−1·min−1, n = 7) and high (>75 mL·kg−1·min−1, n = 7). Plasma was collected under basal conditions after 12 hours of fasting and after a maximal exercise test (nonfasted) and analyzed by high-resolution LC–MS. Multivariate and univariate statistics were applied. Results: A total of 167 compounds were putatively identified with an LC–MS-based metabolomics pipeline. Partial least-squares discriminant analysis showed a clear separation between groups. Significant variations in metabolites highlighted group differences in diverse metabolic pathways, including lipids, vitamins, amino acids, purine, histidine, xenobiotics, and others, either under basal condition or after the maximal exercise test. Conclusions: Taken together, the metabolic alterations revealed in the study affect cellular energy use and availability, oxidative stress management, muscle damage, central nervous system signaling metabolites, nutrients, and compound bioavailability, providing new insights into metabolic alterations associated with exercise and cardiorespiratory fitness levels in trained athletes.


Author(s):  
Riyad Khanfer ◽  
John Ryan ◽  
Howard Aizenstein ◽  
Seema Mutti ◽  
David Busse ◽  
...  

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