文章基本信息

标题：Feature Extraction of MES (MyoElectricSignal) using Temporal approach for prosthetic arm control
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作者：Mr. Santosh S. Patil ; Prof. Mahesh S. Kumbhar
期刊名称：International Journal of Electronics and Computer Science Engineering
电子版ISSN：2277-1956
出版年度：2013
卷号：2
期号：2
页码：678-684
出版社：Buldanshahr : IJECSE
摘要：Extracting MES signal is the very basic need before movement classification for driving prosthetic arm. Analysing accurate and optimum features form acquiesced MES signal is very useful for meaningful classification of movement. In this paper we have describes the t signals which is referred as MUAP. We have discussed MAV method from temporal approach. In this paper we present classification of arm open, close and hold movement. MATLAB tool & also analysing the linear motion of the actuating device with the help of microcontroller using PROTEUS tool. Result and Conclusion section describes the simulation and practical result of proposed work.
关键词：MyoElectricSignal (MES); Electromyography (EMG); Motor Activation Unit Potential (MAUP); Mean;absolute value (MAV).