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Mehrdad Anbarian

Mehrdad Anbarian

Academic rank: Professor
ORCID:
Education: PhD.
ScopusId: 24478452000
HIndex:
Faculty: Faculty of Sport Sciences
Address:
Phone:

Research

Title
The effects of fatigue on synergy of selected lower limb muscles during running
Type
JournalPaper
Keywords
Fatigue Running Muscle synergy Non-negative matrix factorization algorithm
Year
2020
Journal JOURNAL OF BIOMECHANICS
DOI
Researchers ، Mehrdad Anbarian ، ، Mahdi Mirzapour

Abstract

The purpose of this study was to investigate the effect of fatigue on selected lower extremity muscles synergy during running using non-negative matrix factorization algorithm method. Sixteen male recreational runners participated in this study. The surface electromyographic activity of rectus femoris (RF), vastus lateralis (VL), vastus medialis (VM), biceps femoris (BF), semitendinosus, gastrocnemius medialis (GM), soleus (SO) and tibialis anterior (TA) were recorded on treadmill at 3.3 m s1 before and after the fatigue protocol. Synergy pattern and relative muscle weight were calculated by nonnegative matrix factorization (NNMF) algorithm method. The results showed that using the VAF method, five muscle synergies were extracted from the emg data during running. After the fatigue, the number of muscular synergies did not show a change, but relative weight of the muscles changed. Fatigue did not have any effect on the structure of muscular synergy, but changed the relative weight of muscles. These changes could be the strategy of the central nervous system to maintain optimal function of the motor system.