DocumentCode :
140183
Title :
Muscle synergy analysis for similar upper limb motion tasks
Author :
Lu Tang ; Fei Li ; Shuai Cao ; Xu Zhang ; Xiang Chen
Author_Institution :
Dept. of Electron. Sci. & Technol., Univ. of Sci. & Technol. of China (USTC), Hefei, China
fYear :
2014
fDate :
26-30 Aug. 2014
Firstpage :
3590
Lastpage :
3593
Abstract :
Muscle synergy is considered as a vector specifying a pattern of relative muscle activation. The goal of this paper is to explore whether there exists similarities between muscle synergies in similar upper limb motion tasks. One center-out-center reaching task and two path movement tasks with regard to the elbow and shoulder joints were designed, and seven healthy adults were recruited in this study. Surface electromyographic (sEMG) signals were recorded from 10 upper arm and shoulder muscles, and muscle synergies were extracted using nonnegative matrix factorization algorithm. Although there existed individual differences among subjects, experimental results showed that the structures of muscle synergies extracted from these three similar tasks were similar on the ground of the values of Pearson´s correlation coefficient was greater than 0.85. Through this finding, the neuromuscular control strategies of upper limb in similar tasks could be explained clearly, which also provided significant evidence to support the hypothesis of muscle synergies.
Keywords :
electromyography; matrix decomposition; medical signal processing; neuromuscular stimulation; Pearson correlation coefficient; center-out-center reaching task; elbow joints; muscle structures; muscle synergy analysis; neuromuscular control strategy; nonnegative matrix factorization algorithm; path movement tasks; relative muscle activation; sEMG signals; shoulder joints; shoulder muscles; surface electromyographic signals; upper arm muscles; upper limb motion tasks; Elbow; Electrodes; Legged locomotion; Matrix decomposition; Neuromuscular; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE
Conference_Location :
Chicago, IL
ISSN :
1557-170X
Type :
conf
DOI :
10.1109/EMBC.2014.6944399
Filename :
6944399
Link To Document :
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