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基于模糊自相似性的表面肌电信号分形分析
引用本文:胡晓,王志中,任小梅,马波. 基于模糊自相似性的表面肌电信号分形分析[J]. 北京生物医学工程, 2006, 25(2): 178-181
作者姓名:胡晓  王志中  任小梅  马波
作者单位:华南师范大学激光生命科学研究所,广州,510631;上海交通大学生物医学工程系,上海,200030;上海交通大学生物医学工程系,上海,200030
摘    要:表面肌电信号(surface EMG,sEMG)是一种复杂的非线性信号.近年来,分形分析常被用来揭示这种非线性特征.本文采用一种基于模糊自相似性的分数维计算方法,来获取前臂执行四种动作时所对应的动作sEMG的分数维.结果表明,通过这种方法获得的分数维能够聚集在各自特定的范围内,并且,通过分形维能够区分部分动作sEMG.

关 键 词:sEMG  模糊自相似性  分数维  关联维  GP算法
文章编号:1002-3208(2006)02-0178-04
收稿时间:2004-11-24
修稿时间:2004-11-24

The Fractal Analysis of Surface EMG Based on the Fuzzy Self-Similarity
HU Xiao,WANG Zhizhong,REN Xiaomei,MA Bo. The Fractal Analysis of Surface EMG Based on the Fuzzy Self-Similarity[J]. Beijing Biomedical Engineering, 2006, 25(2): 178-181
Authors:HU Xiao  WANG Zhizhong  REN Xiaomei  MA Bo
Affiliation:1. Laser Life Science Institute, South China Normal University, Guangzhou 510631; 2. Department of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200030
Abstract:Surface EMG is a complex nonlinear signal.In recent years,fractal analysis has been often used to disclose the nonlinear characteristics underlying the sEMG.A method based on the fuzzy self-similarity was employed to calculate the fractal dimension of four kinds of action sEMG.The results showed that the fractal dimensions calculated by the method could focus on their own special ranges,and some kinds of sEMG could be identified by the way of their fractal dimensions.
Keywords:sEMG
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