%0 Journal Article %1 anas_fouad_ahmed_2022_6962096 %A Ahmed, Anas Fouad %D 2022 %J Global Journal of Engineering and Technology Advances %K EMG %N 3 %P 105–110 %R 10.30574/gjeta.2022.11.3.0101 %T A quick survey of filtering techniques for surface electromyography signals %U https://gjeta.com/content/quick-survey-filtering-techniques-surface-electromyography-signals %V 11 %X Electromyography (EMG) represents the electrical activity of muscles, and it has a wide range of usage in biomedical and clinical tasks. During myoelectrical stimulation, the EMG signal has two sources: the meaningful electrical response of the muscles and signal noise. Technical noise (such as power line noise) and biological noise (ECG). The noises in the system must be efficiently rejected, as this will disturb the analysis of the activity of the muscle. This paper presents different types of noise that corrupt the EMG signal and the main denoising approaches for minimizing the noise effect.

@article{anas_fouad_ahmed_2022_6962096, abstract = {Electromyography (EMG) represents the electrical activity of muscles, and it has a wide range of usage in biomedical and clinical tasks. During myoelectrical stimulation, the EMG signal has two sources: the meaningful electrical response of the muscles and signal noise. Technical noise (such as power line noise) and biological noise (ECG). The noises in the system must be efficiently rejected, as this will disturb the analysis of the activity of the muscle. This paper presents different types of noise that corrupt the EMG signal and the main denoising approaches for minimizing the noise effect.}, added-at = {2022-11-15T11:37:38.000+0100}, author = {Ahmed, Anas Fouad}, biburl = {https://www.bibsonomy.org/bibtex/209ccf47a7cbdeaff8d221c85f6464b59/gjetajournal}, doi = {10.30574/gjeta.2022.11.3.0101}, interhash = {813df9dcc8b8780ea281432fbeb6a1a7}, intrahash = {09ccf47a7cbdeaff8d221c85f6464b59}, issn = {2582-5003}, journal = {{Global Journal of Engineering and Technology Advances}}, keywords = {EMG}, month = jun, number = 3, pages = {105–110}, timestamp = {2022-11-15T11:37:38.000+0100}, title = {A quick survey of filtering techniques for surface electromyography signals}, url = {https://gjeta.com/content/quick-survey-filtering-techniques-surface-electromyography-signals}, volume = 11, year = 2022 }