Basing on RBF Neural Network to Classify Surface Electromyography

摘要：

　　in this paper,a method is presented,which bases on Power Spectrum and RBF neural network.First,we calculate Power Spectrum eigenvector that is pretreated.Second,using the Power Spectrum coefficient to train the RBF neural network and classify the muscle movement of forearm.The experiment indicates this measure can reduce workload and get the relatively good results.

关键词： Surface Electromyography Signal Power Spectrum RBF neural network pattern recognition

作者: LIU Shicai ZHANG Qingju SUN Bo

作者单位: school of information Linyi university Linyi, Shandong Province, China Department of Information Engineering Shandong University of science and technology Taian, Shandong

会议类型: 国际会议

会议名称: 2011 International conference on Instrumentation,Measurement,Computer,Communication and Control (IMCCC2011)(第一届仪器测量、计算机通信与控制国际会议)

会议地点: 北京

会议语种:英文

页码: 262-265

在线出版日期: 2011-10-21（万方平台首次上网日期，不代表论文的发表时间）