期刊名称：International Journal of Advanced Research In Computer Science and Software Engineering
印刷版ISSN：2277-6451
电子版ISSN：2277-128X
出版年度：2012
卷号：2
期号：1
出版社：S.S. Mishra
摘要：The myoelectric signal (MES) is one of the biosignals utilized in helping humans to control equipments. For this we required to recognize the hand movement. In this direction the first step is feature extraction. The optimal feature is important for the achievement in EMG analysis and control. By this extracted feature we reduce the computational cost of a multifunction myoelectric control system. The goal of this paper is to define the methods and approaches which are most suited for extracting the featu res from EMG signal. The techniques discussed here are spectral approaches like STFT, Thompson transform etc, wavelet based analysis, fuzzy based feature extracter and temporal approaches.
