Muscle synergy decomposition analysis using wavelet detection in human locomotor activity

被引：0

作者：

Popov, Anton ^{[1
]}

Yakovenko, Sergiy ^{[2
]}

机构：

[1] Natl Tech Univ Ukraine, Kyiv Polytech Inst, Phys & Biomed Elect Dept, Kiev, Ukraine

[2] West Virginia Univ, Sch Med, Div Exercise Physiol, Human Performance Dept,Ctr Neurosci, Morgantown, WV 26506 USA

来源：

2015 SIGNAL PROCESSING SYMPOSIUM (SPSYMPO) | 2015年

关键词：

muscle synergies; electromyogram; EMG; wavelet analysis; feature extraction; SPLIT-BELT TREADMILL; INTERLIMB COORDINATION; COMPLEX MOVEMENTS; SPINAL-CORD; ADAPTATION; MICROSTIMULATION; WALKING; RAT; PLASTICITY;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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.

引用

页数：5

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