Analysis of EMG Signal Using Wavelet Coefficients for Upper Limb Function

摘要：

The amplitude of the surface electromyogram (sEMG) is frequently used as the control input to myoelectric prostheses, as a measure of muscular effort and has also been investigated as an indicator of muscle force. To cope with the non stationary property of sEMG, features were extracted using wavelet packet transform. The wavelet packet transform provide an effective representation for multi class Support Vector Machine(SVM), when they are subjected to dimensionality reduction by wavelet packet energy and singular value decomposition.

关键词： Wavelet Packet Transform Wavelet Packet Energy Singular value decomposition Multi-class Support Vector Machine (SVM)

作者: Navleen Singh Rekhi Hari Singh Ajat Shatru Arora Angelina K Rekhi

作者单位: Department of Instrumentation & Control Engineering, Dr. B R Ambedkar NIT, Jalandhar, Punjab, India Department of Electrical and Instrumentation Engineering , Sant Longowal Institute of Engineering an Institute of Medical Sciences and Research, Amritsar, Punjab, India

会议类型: 国际会议

会议名称: 2009 2nd IEEE International Conference on Computer Science and Information Technology(第二届计算机科学与信息技术国际会议 ICCSIT2009)

会议地点: 北京

会议语种:英文

页码: 357-361

在线出版日期: 2009-08-08（万方平台首次上网日期，不代表论文的发表时间）