基于肌肉协同分析的上肢痉挛定量评估及神经康复方法研究

Stroke has the highest disability rate among diseases. The muscle spasm after stroke is one of the major factors that cause motor dysfunction of patients, where the synergy pattern of muscle group related to spasm is changed. The study on the change characters of muscle synergy function is very meaningful for the quantitative assessment and rehabilitation for spasm. However, the current method focuses only on the function of single muscle and lack of a consideration of whole synergy function for muscle groups. This work will study on the quantitative assessment and EEG neural feedback rehabilitation method for upper-limb spasm based on the muscle synergy analysis, with a focus on the change characters of muscle synergy function and the effectiveness of EEG neural feedback on spasm rehabilitation. In the study, the multichannel EEG information of the stroke patients with upper-limb muscle spasm and the high density sEMG and MMG information of muscle groups related to spasm will be firstly acquired synchronously, to achieve a quantitative assessment of spasm by means of muscle synergy analysis and EEG-EMG information fusion. Then the change characters of synergy function of spams muscle will be investigated. In addition, the rehabilitation method for spasm based on the EEG neural feedback will be exploited. The implementation of this study will improve the understanding on the change characters of synergy function of spasm muscle and the mechanism of neural feedback rehabilitation, and provide the theoretical and technical supports for the development of new methodfor quantitative assessment and neural rehabilitation for upper-limb spasm.

脑卒中（中风）是致残率最高的疾病。脑卒中后患者肌肉痉挛是导致其运动功能障碍的主要因素之一，主要表现为痉挛相关肌群的协同工作模式发生改变。研究肌肉协同功能的变化特性对于痉挛定量评估和康复具有重要的意义。目前肌肉痉挛的评估和康复往往仅关注单一肌肉的功能，缺乏对肌群整体协同功能的考虑。本项目将基于肌肉协同分析，围绕痉挛的肌肉协同功能变化特性及脑电神经反馈对痉挛康复的有效性问题，开展上肢肌肉痉挛的定量评估及脑电神经反馈康复方法研究。本项目拟采集脑卒中后上肢肌肉痉挛患者多通道脑电信息，并同步采集痉挛相关肌群高密度表面肌电及肌动信息，通过肌肉协同分析和脑肌信息融合进行痉挛定量评估；开展痉挛肌肉协同功能变化特性研究；探索基于脑电神经反馈的痉挛康复方法。本项目的成功实施可以增强对痉挛的肌肉协同功能变化特性和神经反馈康复机制的了解，并为开发新的上肢肌肉痉挛定量评估和神经反馈康复方法提供理论和技术支持。

脑卒中是致残率最高的疾病。脑卒中后患者肌肉痉挛是导致其运动功能障碍的主要因素之一，历来是临床诊疗难题。痉挛相关肌群的神经肌肉特性均发生改变，研究肌肉神经肌肉电特性和生物力学特性对于痉挛定量评估和康复具有重要的意义。本项目从肌肉痉挛功能评估，神经康复方法及作用机制，肌肉痉挛评测系统开发等方面开展研究。本项目采集脑卒中后上肢肌肉痉挛患者多种运动模式下的多通道脑电信息，并同步采集痉挛相关肌群高密度表面肌电及肌动信息，通过生物力学信息分析和脑肌电信息分析进行肌肉痉挛定量评估，开展痉挛患者神经肌肉电特性和生物动力学特性研究，研发基于肌电和肌动信息融合的肌肉痉挛定量评测方法。.本项目取得几项重要结果：（1）针对基于生物动力学特性的肌肉痉挛评测指标个体差异大的难题，比较了体重和最大等长收缩力两种归一化方法；（2）提出了基于最大等长收缩的三个评价指标（峰值力矩，上升时间，保持时间）用于肌肉痉挛评测，并对该指标的有效性和可靠性进行了验证；（3）另外，还基于支持向量机算法，结合肌电和肌动信号双模信号解析，实现了对肌肉痉挛的定量评测，肌肉痉挛等级的分类准确率达到了91.7%；（4）开发了肌电与肌动双模信息同步检测系统。本项目的成功实施可以增强对痉挛的神经肌肉协同功能变化特性和神经康复机制的了解，并为开发新的上肢肌肉痉挛定量评估和神经反馈康复方法提供理论和技术支持。