DocumentCode :
3308296
Title :
Muscle synergy decomposition analysis using wavelet detection in human locomotor activity
Author :
Popov, Anton ; Yakovenko, Sergiy
Author_Institution :
Phys. & Biomed. Electron. Dept., Nat. Tech. Univ. of Ukraine, Kiev, Ukraine
fYear :
2015
fDate :
10-12 June 2015
Firstpage :
1
Lastpage :
5
Abstract :
Any movement is generated by synergistic actions of muscle groups. The analytical description of how muscles are combined into synergies to produce their coordination actions remains to be established. Here, we have introduced the wavelet-based analysis to identify common information among major leg muscles during a locomotor tasks with and without asymmetric adaptation.
Keywords :
biomechanics; electromyography; feature extraction; medical signal detection; wavelet transforms; analytical description; asymmetric adaptation; coordination actions; human locomotor activity; locomotor tasks; major leg muscles; muscle groups; muscle synergy decomposition analysis; synergistic actions; wavelet detection; wavelet-based analysis; Couplings; Electromyography; Feature extraction; Legged locomotion; Muscles; Wavelet analysis; Wavelet transforms; EMG; electromyogram; feature extraction; muscle synergies; wavelet analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing Symposium (SPSympo), 2015
Conference_Location :
Debe
Type :
conf
DOI :
10.1109/SPS.2015.7168260
Filename :
7168260
Link To Document :
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