Optimal rejection of movement artefacts from myoelectric signals by means of a wavelet filtering procedure
Optimal rejection of movement artefacts from myoelectric signals by means of a wavelet filtering procedure
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DOI：
10.1016/s1050-6411(98)00023-6
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发表时间：
1999-02-01
影响因子：
2.5
通讯作者：
Pignatelli, S
中科院分区：
文献类型：
--
作者：
Conforto, S;D'Alessio, T;Pignatelli, S
在这项工作中，拒绝运动伪影从表面肌电信号，记录在动态收缩的问题，进行了研究。事实上，频率参数的提取和肌肉激活模式的检测可能会受到由于表面电极的移动而产生的伪影的影响，特别是受到测量期间执行的锻炼的动态条件的影响。为了克服这一困难，四个不同的滤波程序进行了测试和比较：高通滤波程序，移动平均程序，移动中值程序和一个新的自适应小波为基础的程序，明确设计这项工作。使用正交Meyer小波的目的是获得良好的重建和信号分解成不重叠的频带。这四个程序已经测试了一组不同的证据，利用合成和实验记录的肌电信号。结果表明，小波方法在信息保持和时间检测方面都优于其他方法。此外，用户无关性和自适应噪声水平的特点表明，更广泛的应用所提出的算法。(C)1999 Elsevier Science Ltd.保留所有权利。
In this work the problem of rejection of motion artefacts from surface myoelectric signals, recorded during dynamic contractions, is studied. In fact, the extraction of frequency parameters and the detection of muscular activation patterns can be detrimentally affected by artefacts due to the movement of the surface electrodes, particularly stressed by the dynamic conditions of the exercise performed during measurement. In order to overcome this difficulty, four different filtering procedures have been tested and compared: a high-pass filtering procedure, a moving average procedure, a moving median procedure and a new adaptive wavelet based procedure, expressly designed for this work. Orthogonal Meyer wavelets are used with the aim of obtaining both a good reconstruction and a decomposition of the signal into non-overlapping bands. The four procedures have been tested with a set of different proofs utilising both synthetic and experimentally recorded myoelectric signals. The results show that the wavelet procedure performs better than the other methods both in information preservation and in time-detection. Moreover, the features of user-independence and adaptivity to the noise level suggest a wider range of applications of the proposed algorithm. (C) 1999 Elsevier Science Ltd. All rights reserved.