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Formulation of regression equation on the basis of endurance time and fatigue indices in biceps brachii by using surface-EMG of 14-19 years aged trained male volleyball players

Priyam ChatterjeePriya NandyAnupam Bandyopadhyay

Abstract

The key component of this study is to analyze the change in fatigue Indices during muscular exhaustion by applying this connection. Forty male volleyball players aged 14-19 years having no muscular injury participated in this study. Surface-EMG was done in biceps brachii of dominant hand in each player. Endurance time was recorded by holding 30 percent of MVC in each subject until breakpoint was attained. Fatigue Indices were computed from the raw EMG signals using FFT. Pearson’s correlation and regression with the best fitting curve analysis were performed to establish the relationships between the variables. Fatigue indices were shown to have a positive correlation with endurance time (p

Sports Performance and TrainingMuscle activation and electromyography studiesMuscular fatigueBicepsRegression analysisPhysical medicine and rehabilitationPhysical therapyMuscle fatigueMathematicsPearson product-moment correlation coefficientPhysical strengthStatistics
Citations
3
FWCI
0.53
field-weighted impact
References
7
Percentile
62%
vs. same field & year
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Formulation of regression equation on the basis of endurance time and fatigue indices in biceps brachii by using surface-EMG of 14-19 years aged trained male volleyball players · Scinovex