基于Hermite插值的小波模极大值重构滤波的肌电信号消噪方法  

Hermite Interpolation-Based Wavelet Transform Modulus Maxima Reconstruction Algorithm's Application to EMG De-noising

作　　者：罗志增[1] 沈寒霄[1] 

机构地区：[1]杭州电子科技大学机器人研究所,杭州310018

出　　处：《电子与信息学报》2009年第4期857-860,共4页Journal of Electronics & Information Technology

基　　金：国家自然科学基金(60705010);浙江省科技计划(2007C23088)资助课题

摘　　要：为了消除混杂在肌电信号中的噪声,该文提出了基于Hermite插值的小波模极大值重构滤波的肌电信号消噪方法。该方法先对肌电信号进行小波分解;其次,根据小波系数的奇异性,利用信号与噪声模极大值在小波尺度上的不同变化特性,分离出信号与噪声;再次,用Hermite插值法重构小波系数;最后从重构的小波系数恢复成去噪后的信号。实验结果表明,Hermite插值的小波模极大值重构能有效地去除噪声,提高信噪比,且保留了肌电信号的细节信息,为肌电信号的特征提取和模式识别创造了良好的条件。In order to eliminate the noise mixed in EMG signal, a Hermite interpolation- based wavelet transform modulus maxima reconstruction algorithm is proposed. The obtained EMG signal is decomposed using the wavelet transform; the singularity and different properties of the signal and noise of the wavelet coefficient modulus under the different scales of wavelet transformation are used to separate the signal and noise; then the wavelet coefficients are reconstructed using Hermite interpolation; Finally, the de-noised signal is got by the wavelet reconstructed algorithm. Experiments show that, the method has good performance in removing noise, improving the signal-to-noise ratio and reserving the detailed information, which brings in favorable conditions to feature extraction and pattern recognition of EMG.

关 键 词：肌电信号 小波变换 模极大值 HERMITE插值 

分 类 号：TP24[自动化与计算机技术—检测技术与自动化装置]