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：2013
卷号：3
期号：7
出版社：S.S. Mishra
摘要：The technology of EMG recording is relatively new. There are still limitations in detection and characterization of existing nonlinearities in the surface electromyography (SEMG). Wavelet packets are advance and effective method for analysing signal processing work. EMG signal represents the neuromuscular activities and analysis of EMG signals can lead to diagnose myopathy and neuropathy related muscular diseases. Here we have analyzed the filtering performance by using Balance Sparsity-norm & fixed form thesholding (soft &hard) methods where the mean, standard deviation & mean abs deviation is calculated at different global threshold for Healthy & Myopathic EMG signals. The residuals of both Healthy and Myopathic EMG signals are providing significant results which help in symptoms detection of myopathic disease conditions
关键词：EMG; Myopathy; Neuropthy; Wavelet packet; Balance Sparsity-norm; fixed form thresholding
