A comparative study of denoising sEMG signals
| Autor: | BAŞPINAR, ULVİ, ŞENYÜREK, VOLKAN YUSUF, DOĞAN, BARIŞ, VAROL, HÜSEYİN SELÇUK, VAROL, Hüseyin Selçuk |
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| Rok vydání: | 2015 |
| Předmět: |
Surface electromyography
sEMG empirical mode decomposition empirical mode decomposition denoising wavelet median filter Discrete wavelet transform Engineering General Computer Science business.industry Noise reduction Flexor carpi radialis muscle Pattern recognition Signal Hilbert–Huang transform Wavelet Median filter Computer vision Artificial intelligence Electrical and Electronic Engineering business |
| Zdroj: | Volume: 23, Issue: 4 931-944 Turkish Journal of Electrical Engineering and Computer Science |
| ISSN: | 1303-6203 1300-0632 |
| DOI: | 10.3906/elk-1210-4 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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