EMG signal filtering based on Empirical Mode Decomposition
EMG signal filtering based on Empirical Mode Decomposition
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DOI：
10.1016/j.bspc.2006.03.003
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发表时间：
2006-01-01
影响因子：
5.1
通讯作者：
Van Kanijn, F. R.
中科院分区：
文献类型：
--
作者：
Andrade, Adriano O.;Nasuto, Slawomir;Van Kanijn, F. R.
本文介绍了一种过滤肌电信号的方法。它的关键要素是经验模态分解，这是一种新颖的数字信号处理技术，可以将我的时间序列分解成一组指定为本征模态函数的函数。将该方法与基于小波变换的肌电信号滤波方法进行了比较。对合成肌电信号和实验肌电信号的分析结果表明，该方法可以很好地应用于实际肌电信号的背景活动衰减。(c) 2006 Elsevier Ltd.版权所有。
This paper introduces a procedure for filtering electromyographic (EMG) signals. Its key element is the Empirical Mode Decomposition, a novel digital signal processing technique that can decompose my time-series into a set of functions designated as intrinsic mode functions. The procedure for EMG signal filtering is compared to a related approach based on the wavelet transform. Results obtained from the analysis of synthetic and experimental EMG signals show that Our method can be Successfully and easily applied in practice to attenuation of background activity in EMG signals. (c) 2006 Elsevier Ltd. All rights reserved.