基于相干性的多频段脑肌电信号双向耦合分析

发布时间：2018-06-19 00:45

本文选题：脑肌电信号 + 耦合分析　；参考：《传感技术学报》2017年10期

【摘要】：针对皮层肌肉相干性分析时不能确定耦合方向的局限性,根据神经肌肉信息的双向传递性,提出利用不同大脑功能区的脑电信号和动作相关的肌电信号,实现了相干函数对脑肌电信号的双向耦合分析。本文对不同握力模式下同步采集的脑肌电信号进行了多频段耦合分析。通过下行(EEG—EMG)和上行(EMG—EEG)分析发现,随着握力的增大,EEG能量、相干幅值和耦合强度均向高频段转移。与基于新型格兰杰因果关系的耦合方法进行比较,验证了相干性方法进行皮层肌肉双向耦合分析的可行性和优势。研究结果为探索基于皮层肌肉相干性的双向手部运动信息解码和上肢运动功能障碍分析提供了依据。
[Abstract]:In view of the limitation that the cortical muscle coherence analysis can not determine the coupling direction, according to the bidirectional transmission of neuromuscular information, this paper proposes the use of EEG signals and motion-related EMG signals from different functional areas of the brain. The bidirectional coupling analysis of EEG signal with coherence function is realized. In this paper, the multi-frequency coupling analysis of EEG signals collected synchronously under different grip modes is carried out. It is found that the EEG energy, coherent amplitude and coupling intensity are transferred to high frequency with the increase of grip force by the analysis of the descending EEG-EMG and the uplink EMG-EEG. Compared with the new coupling method based on Granger causality, the feasibility and advantage of the coherence method for the bidirectional coupling analysis of cortical muscles are verified. The results provide a basis for exploring the decoding of bidirectional hand motion information and the analysis of upper limb motor dysfunction based on cortical muscle coherence.
【作者单位】：杭州电子科技大学机器人研究所;广东省工伤康复中心;休斯顿大学生物医学工程系;
【基金】：国家自然科学基金项目(61372023,61671197) 浙江省自然科学基金项目(LY18F030009,LY17F030021) 杭州电子科技大学科研创新基金项目(CXJJ2017051)
【分类号】：R318;TN911.6

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