Surface Myoelectric Signals Decoding Using the Continuous Wavelet Transform Singularity Detection

摘要：

Electromyographic (EMG) signals are the resultant of electrical activity of muscle fibers during a muscle contraction, whose pattern can provide a significant reference of a motor rehabilitation system. The EMG decoding method using refractory period and threshold is appropriate for real-time processing system due to its low algorithm complexity and the good fidelity of time domain information. In this paper, the distribution of intervals between continuous wavelet transform modulus maxima was analyzed to provide a reasonable determination of the refractory period. In addition, the source signals were decoded according to the refractory period. Promising results are demonstrated.

作者: Yuxuan Zhou Xiaoying Lu Zhigong Wang Zonghao Huang Jingdong Yang Xintai Zhao

作者单位: State Key Laboratory of Bioelectronics, Southeast University, Nanjing, P. R. China vice director of State Key Laboratory of Bioelectronics, Southeast University, Nanjing, 210096, P.R. director of the Institute of RF- & OE-ICs, Southeas is with State Key Laboratory of Bioelectronics,S Institute of RF- & OE-ICs, Southeast University, Nanjing, P. R. China State Key Laboratory of Bioelectronics,Southeast University, Nanjing, P. R. China Institute of RF- & OE-ICs, Southeast University,Nanjing, P. R. China

会议类型: 国际会议

会议名称: 2011 International Symposium on Bioelectronics and Bioinformatics(第二届国际生物医学电子学与生物信息学学术会议 ISBB 2011)

会议地点: 苏州

会议语种:英文

页码: 191-194

在线出版日期: 2011-11-03（万方平台首次上网日期，不代表论文的发表时间）