Thus, EXP showed larger inter-subject variability than UNT in the synergy activation coefficient during the concentric phase, while the muscle synergy vectors were less variable in EXP. Median correlation coefficient (ρ) for muscle synergy vector 2 was 0.15 and 0.48 (P = 0.03) in UNT and EXP, respectively. The cross-correlations (ρ(max)) for synergy activation coefficient 2 (concentric phase) were 0.83 and 0.59 (P = 0.001) in UNT and EXP, respectively. Describing more than 90% of the variability, two muscle synergies reflected the eccentric and concentric phase. MSK pain alters the structure of variability in muscle control, although its specific nature remains unclear. Muscle synergy analysis (MSA) is a mathematical technique that reduces the dimensionality of electromyographic (EMG) data. The synergy activation coefficient represents the relative contribution of the muscle synergy to the overall muscle activity pattern, while the muscle synergy vector represents the relative weighting of each muscle within each synergy. Approximately 4 muscle synergies controlled the majority of variability in 10 EMGs during running, and were common between level and uphill conditions. Muscle synergies were extracted from surface electromyography data of 21 bench press cycles using non-negative matrix factorization algorithm. IntroductionThe time-varying and individual variability of surface electromyographic signals (sEMG) can lead to poorer motor intention detection results from different subjects and longer temporal intervals between training and testing datasets. Ten expert power lifters (EXP) and nine untrained participants (UNT) completed three sets of eight repetitions at 60% of three repetition maximum in bench press. The purpose of the study was to elucidate the role of expertise on muscle synergies involved in bench press.
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