- Turkish Journal of Electrical Engineering and Computer Science
- Vol: 23 Issue: 4
- A comparative study of denoising sEMG signals
A comparative study of denoising sEMG signals
Authors : Ulvi Başpinar, Volkan Yusuf Şenyürek, Bariş Doğan, Hüseyin Selçuk Varol, Hüseyin Selçuk Varol
Pages : 931-944
Doi:10.3906/elk-1210-4
View : 8 | Download : 2
Publication Date : 9999-12-31
Article Type : Makaleler
Abstract :Denoising of surface electromyography (sEMG) signals plays a vital role in sEMG-based mechatronics applications and diagnosis of muscular diseases. In this study, 3 different denoising methods of sEMG signals, empirical mode decomposition, discrete wavelet transform (DWT), and median filter, are examined. These methods are applied to 5 different levels of noise-added synthetic sEMG signals. For the DWT-based denoising technique, 40 different wavelet functions, 4 different threshold-selection-rules, and 2 threshold-methods are tested iteratively. Three different window-sized median filters are applied as well. The SNR values of denoised synthetic signals are calculated, and the results are used to select DWT and median filter method parameters. Finally, 3 methods with the optimum parameters are applied to the real sEMG signal acquired from the flexor carpi radialis muscle and the visual results are presented.Keywords : Surface electromyography, sEMG, empirical mode decomposition, empirical mode decomposition, denoising, wavelet, median filter