Author(s): Priyam Chatterjee, Priya Nandy and Anupam 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<0.05). Analysis has been done and best-fitted curves indicated the best feasible relationship. Endurance time is a direct indicator of muscle fatigue i.e. increased endurance time suggests that muscle is less vulnerable to fatigue and vice versa. The relationship between endurance time and fatigue indices (MNF and MDF) can be mathematically stated as y=f(x). ‘Power’ & ‘Growth’ associations respectively and were found to be best-fitted according to the regression analysis. According to those correlations, the relationship between both the fatigue indices (MNF and MDF) were developed.

DOI: 10.22271/kheljournal.2021.v8.i6a.2270

Pages: 06-10  |  685 Views  180 Downloads

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