Research on denoising method of surface electromyography of neck-shoulder muscle signal based on translation invariant wavelet transform
LI Yan
SUI Xiuwu
Abstract：In order to improve the signal-to-noise ratio of non-stationary surface electromyography(SEMG),which is suscep-tible to noise interference,the Gibbs phenomenon is deduced at the singularity of the signal at the traditional hard threshold denoising. The new threshold denoising method was used to denoise the electromyography(EMG)signal by the translation invariance(TI)wave-let.The experimental results show that the proposed method improves the signal-to-noise ratio of the signal by 7 times compared with the traditional soft threshold denoising method,and reduces the root mean square(RMS)error with the traditional hard threshold de-noising method 4 times;So the method is more suitable to fully retain the details of the characteristics of EMG signal under the premise of removing the neck and shoulder EMG in the white noise and 50 Hz frequency interference.
Keywords：Surface electromyographyWavelet threshold denoisingTranslation invarianceDenoisingSignal noise ratio
Publication Date：2018-01-01
Online Publishing Date：2026-09-11(First online date of this platform, not the publication date of the document)
Pages：4( 52-55 )