基于变分模态分解-相干分析的肌间耦合特性
发布时间:2018-05-26 09:19
本文选题:肌电信号 + 变分模态分解 ; 参考:《物理学报》2017年06期
【摘要】:肌间耦合是肢体运动过程中不同肌肉间的相互关联与相互协调作用.通过研究肌电信号(s EMG)间特征频段的耦合特性可以获得肌肉间的功能联系及中枢神经系统支配肢体运动的执行与协调方式机理.本文将变分模态分解与相干分析相结合,构建变分模态分解-相干分析模型,定量描述肢体运动中相关肌肉sEMG在特征频段的耦合特性.在20%最大自主收缩力静态负荷强度下,采集20名健康被试的sEMG,基于变分模态分解方法将sEMG时频尺度化,进而分析不同sEMG在特征频段的相干性,并计算显著相干面积指标,定量分析肌间特征频段的功能耦合特性.结果表明:低负荷静态握力维持过程中,指浅屈肌与尺侧腕曲肌、指浅屈肌与指伸肌的beta与gamma频段耦合强度随时间推进而增强;相较于指浅屈肌与指伸肌,疲劳状态下指浅屈肌与尺侧腕曲肌beta与gamma频段耦合强度变化更显著,且瞬时频率特征变化相似,揭示运动致疲劳过程中协同肌受中枢神经系统控制以更加同步的方式活动.
[Abstract]:Intermuscular coupling is the interaction and coordination of different muscles during limb movement. By studying the coupling characteristics of the characteristic frequency band between EMG signals, the functional relationship between muscles and the mechanism of the central nervous system (CNS) innervating limb movement execution and coordination can be obtained. In this paper, the variational mode decomposition (VMD) and coherent analysis are combined to construct the variational mode decomposition (VMD) coherent analysis model to quantitatively describe the coupling characteristics of muscle sEMG in the characteristic frequency band in limb motion. Under the static load intensity of 20% maximum independent contractile force, the sEMG of 20 healthy subjects was collected, the time-frequency scaling of sEMG was based on variational mode decomposition method, the coherence of different sEMG in characteristic frequency band was analyzed, and the significant coherent area index was calculated. Quantitative analysis of the functional coupling characteristics of the intermuscular characteristic band. The results showed that the coupling strength of beta and gamma bands between flexor digitorum and flexor Carpi ulnaris and flexor digitorum and extensor digitorum muscle increased with time during the maintenance of low load static grip strength, compared with that of flexor digitorum muscle and extensor digitorum muscle. The coupling strength of flexor digitalis and flexor carpi ulnaris in the frequency band of beta and gamma is more significant, and the characteristic of instantaneous frequency is similar. It is revealed that the synergistic muscle is controlled by the central nervous system in the process of exercise induced fatigue in a more synchronous manner.
【作者单位】: 燕山大学电气工程学院河北省测试计量技术及仪器重点实验室;中国人民解放军第281医院康复医学科;
【基金】:国家自然科学基金(批准号:61271142) 河北省自然科学基金(批准号:F2015203372,F2014203246) 河北省高等学校科学技术研究项目(批准号:QN2016094)资助的课题~~
【分类号】:R87
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