Abstract
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.
Highlights
The purpose of the study was to assess the relationship between upper leg muscle fatigue and physiological fatigue during a maximal treadmill running test
The correlation analyses testing the relationship between Muscle Load and muscle frequency measured via EMG compression shorts were significant negative correlations (Table 2)
An increase in Muscle Load was associated with a decrease in EMG frequency of both the left and right biceps femoris (BF), rectus femoris (RF), and Glute muscles in the upper legs
Summary
The purpose of the study was to assess the relationship between upper leg muscle fatigue and physiological fatigue during a maximal treadmill running test. Wearable microsensor technology enables the remote quantification of various types of exercise training intensities, heart rate intensities, distances, and movement workloads [1,2,3,4,5]. While heart rate and time engaged in various heart rate training zones are valuable metrics to assess cardiovascular strain, heart rate wearables do not indicate acute muscular strain, neuromuscular fatigue, or even. Identifying if relationships exist between cardiovascular and neuromuscular indices of fatigue may improve the way practitioners implement training and recovery strategies for athletes. Surface electromyography (sEMG) can measure or identify myoelectric manifestations of fatigue and acute muscle fatigue by recording the muscle fire rates determined by the sEMG mean frequency [8]. SEMG frequency of a muscle will likely decrease [8]
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