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Hermite Interpolation-Based Wavelet Transform Modulus Maxima Reconstruction Algorithm’s Application to EMG De-noising |
Luo Zhi-zeng; Shen Han-xiao |
Robotics Research Institute of Hangzhou Dianzi University, Hangzhou 310018, China |
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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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Received: 24 December 2007
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