在肌电控制下肢康复辅具研究中,合适的肌电采集位置是运动模式识别的前提与基础.针对目前肌电采集位置缺乏成熟理论依据和统一标准的问题,选取90个下肢肌电采集点作为节点,通过计算节点间的肌电相关性,构建下肢肌肉功能网络,证明其具有小世界特性.实验结果表明:不同运动模式的网络具有明显的拓扑结构差异,通过网络特性分析可以确定与模式关联度大的肌电采集位置,取得较好的运动模式识别结果.通过构建及分析下肢肌肉功能网络,深入了解下肢运动模式更替过程中的肌肉协同工作机制,为下肢康复辅具控制中肌电采集位置的确定提供了理论支持.%For myoelectric control study on lower limb rehabilitation aids, suitable electrode placements are the premise and foundation of movement pattern recognition. In response to the lack of mature theoretical basis and uniform standards for electrode placement, 90 acquisition points of lower limb are chosen as nodes, and a functional muscle network of lower limb is established by calculating correlations among those nodes. The characteristic of small work is also proved. The results show that there are obvious topology structure differences among different movement patterns. The collection locations which have close relationship with movement patterns can be selected through analysis of network features, and they may provide considerable precision for identification of movement patterns. Constructing and analyzing the functional muscle network may help to explore the collaborative work mechanism of muscles in transformation process, and provide theoretical support for selection of electromyography acquisition location.
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