RQA在肌电分析中的应用  

APPLICATION OF RECURRENCE QUALIFICATION ANALYSIS TO EMG

作　　者：钟季康[1] 宋志怀[1] 郝为强[2] 

机构地区：[1]同济大学物理系,上海200333 [2]同济大学生命科学与医学工程研究院,上海200333

出　　处：《生物物理学报》2002年第2期241-245,共5页Acta Biophysica Sinica

摘　　要：介绍了递归图的生成方法和定量递归分析 (RQA)中递归点的百分数 ,确定性线段的百分数,线段分布香农熵等分析量的意义。应用RQA分析了肱二头肌及肱桡肌在不同负重下的肌电信号 ,发现肱二头肌肌电信号的递归点百分数均比肱肌高,有较强的周期性嵌入。与同一信号所作的FFT谱分析相比较 ,RQA法有较高的区分灵敏性 ,是肌电分析的一种新方法 。The paper introduces the method of recurrence plot and the significance of percent recurrence and Shannnon information entropy of line distribution in recurrence quantification analysis. Applying RQA, we analyse the EMG of biceps brachii muscle and brachioradialis muscle under different loads, point out the percent recurrence of brachioradialis muscle is higher than that of biceps brachii muscle and more periodic. Comparing with FFT analysis for the same EMG, RQA is more sensitive to different EMG. RQA is a new tool for analysis of EMG, and also has wide application to the processing of other complicated biological signals.

关 键 词：定量递归分析 递归点百分数 确定线段百分数 RQA 肌电分析 应用 

分 类 号：Q593.3[生物学—生物化学] Q445