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

罗志增; 沈寒霄

doi:10.3724/SP.J.1146.2007.01954

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

doi: 10.3724/SP.J.1146.2007.01954

基金项目:

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

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出版历程
- 收稿日期: 2007-12-24
- 修回日期: 2008-04-22
- 刊出日期: 2009-04-19

Hermite Interpolation-Based Wavelet Transform Modulus Maxima Reconstruction Algorithms Application to EMG De-noising

摘要

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。
- 肌电信号;小波变换;模极大值;Hermite插值
Abstract: 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.

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