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

Luo Zhi-zeng; Shen Han-xiao

doi:10.3724/SP.J.1146.2007.01954

Volume 31 Issue 4

Dec. 2010

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Luo Zhi-zeng, Shen Han-xiao. Hermite Interpolation-Based Wavelet Transform Modulus Maxima Reconstruction Algorithms Application to EMG De-noising[J]. Journal of Electronics & Information Technology, 2009, 31(4): 857-860. doi: 10.3724/SP.J.1146.2007.01954

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Luo Zhi-zeng, Shen Han-xiao. Hermite Interpolation-Based Wavelet Transform Modulus Maxima Reconstruction Algorithms Application to EMG De-noising[J]. Journal of Electronics & Information Technology, 2009, 31(4): 857-860. doi: 10.3724/SP.J.1146.2007.01954

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

doi: 10.3724/SP.J.1146.2007.01954

Received Date: 2007-12-24
Rev Recd Date: 2008-04-22
Publish Date: 2009-04-19

Abstract

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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References

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