中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Application of the Chaos Theory in the Analysis of EMG on Patients with Facial Paralysis

文献类型:会议论文

作者Xiong AB(熊安斌); Zhao XG(赵新刚); Han JD(韩建达); Liu GJ(刘光军)
出版日期2013
会议名称2013 2nd International Conference on Robot Intelligence Technology and Applications
会议日期December 18-20, 2013
会议地点Denver, Colorado, USA
关键词sEMG chaotic analysis features extraction facial paralysis
页码805-819
中文摘要Surface electromyography (sEMG) has been widely applied to disease diagnosis, pathologic analysis and rehabilitation evaluation. It is the nonlinear summation of the electrical activity of the motor units in a muscle and can reflect the state of neuromuscular function. Traditional linear and statistical analysis methods have some significant limitations due to the short-term stationary and lower signal-noise ratio of sEMG. In this paper, we introduce chaotic analysis into the field of sEMG process to investigate the hidden nonlinear characteristics of sEMG of patients with facial paralysis. sEMG on the bilateral masseter, levator labii superioris and frontalis of the 21 patients is recorded. Chaotic analysis is employed to extract new features, including correlation dimension, Lyapunov exponent, approximate entropy and so on. We discover the maximum Lyapunov exponents are all greater than 0, indicating that sEMG is a chaotic signal; correlation dimensions of sEMG on healthy sides are all smaller than that of diseased sides; and inversely, the approximate entropies of healthy sides are all greater than that of diseased sides. Consequently, chaotic analysis can provide a new insight into the complexity of the EMG and may be a vital indicator of diagnosis and recovery assessment of facial paralysis.
收录类别EI
产权排序1
会议录Robot Intelligence Technology and Applications 2
会议录出版者Springer-Verlag
会议录出版地Berlin
语种英语
ISSN号2194-5357
ISBN号978-3-319-05581-7
源URL[http://ir.sia.cn/handle/173321/14767]  
专题沈阳自动化研究所_机器人学研究室
推荐引用方式
GB/T 7714
Xiong AB,Zhao XG,Han JD,et al. Application of the Chaos Theory in the Analysis of EMG on Patients with Facial Paralysis[C]. 见:2013 2nd International Conference on Robot Intelligence Technology and Applications. Denver, Colorado, USA. December 18-20, 2013.

入库方式: OAI收割

来源:沈阳自动化研究所

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