张凯,徐光华,李文平,江开元,田沛源,郑小伟,韩丞丞,张四聪

• 1:西安交通大学机械工程学院
• 2:西安交通大学机械制造系统工程国家重点实验室

摘要(Abstract)：

为了有效揭示脑肌双向神经传递机制，解决传统分析方法存在的计算复杂度高、动态特征提取能力差等问题，面向手部运动过程脑肌电耦合特征提取任务，提出了延时等概率符号化传递熵脑肌电耦合分析方法，计算了脑肌电神经信息传递时延规律，进行了运动执行过程激活功能区的关联分析，探索了脑肌耦合强度的时序变化规律。通过在线实验表明：人体左右手的脑肌信息传递具有不对称性，且该传递时延约为20～35 ms;运动执行任务中从脑电到肌电(EEG→EMG)过程比肌电到脑电(EMG→EEG)具有更强的传递熵值。同时，在不同耦合方向下，主动运动任务的脑肌电耦合强度显著高于静息状态。研究不仅对现有的脑肌电耦合分析方法进行了改进，提出了延时等概率符号化传递熵分析方法，同时通过在线实验分析，揭示了手部运动任务下脑肌耦合双向神经信息传递规律，为新的康复方案和康复评价方法提供了理论依据，为神经接口技术的发展提供有力的算法支撑。

关键词(KeyWords)： 脑肌电耦合;神经传递;传递熵;符号化;神经接口

Abstract:

Keywords:

基金项目(Foundation): 科技创新2030“脑科学与类脑研究”重大项目资助（2021ZD0204300）;; 陕西省重点研发计划资助项目（2021GXLH-Z-008）;; 中国博士后科学基金资助项目（2022M722543）

作者(Author): 张凯,徐光华,李文平,江开元,田沛源,郑小伟,韩丞丞,张四聪

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