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Methods of Power Line Interference Elimination in EMG Signal
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| Zeitschriftentitel: | Journal of Biomimetics, Biomaterials and Biomedical Engineering |
|---|---|
| Personen und Körperschaften: | , , , |
| In: | Journal of Biomimetics, Biomaterials and Biomedical Engineering, 40, 2019, S. 64-70 |
| Format: | E-Article |
| Sprache: | Unbestimmt |
| veröffentlicht: |
Trans Tech Publications, Ltd.
|
| author_facet |
Ladrova, Martina Martinek, Radek Nedoma, Jan Fajkus, Marcel Ladrova, Martina Martinek, Radek Nedoma, Jan Fajkus, Marcel |
|---|---|
| author |
Ladrova, Martina Martinek, Radek Nedoma, Jan Fajkus, Marcel |
| spellingShingle |
Ladrova, Martina Martinek, Radek Nedoma, Jan Fajkus, Marcel Journal of Biomimetics, Biomaterials and Biomedical Engineering Methods of Power Line Interference Elimination in EMG Signal |
| author_sort |
ladrova, martina |
| spelling |
Ladrova, Martina Martinek, Radek Nedoma, Jan Fajkus, Marcel 2296-9845 Trans Tech Publications, Ltd. http://dx.doi.org/10.4028/www.scientific.net/jbbbe.40.64 <jats:p>Electromyogram (EMG) recordings are often corrupted by the wide range of artifacts, which one of them is power line interference (PLI). The study focuses on some of the well-known signal processing approaches used to eliminate or attenuate PLI from EMG signal. The results are compared using signal-to-noise ratio (SNR), correlation coefficients and Bland-Altman analysis for each tested method: notch filter, adaptive noise canceller (ANC) and wavelet transform (WT). Thus, the power of the remaining noise and shape of the output signal are analysed. The results show that the ANC method gives the best output SNR and lowest shape distortion compared to the other methods.</jats:p> Methods of Power Line Interference Elimination in EMG Signal Journal of Biomimetics, Biomaterials and Biomedical Engineering |
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| title |
Methods of Power Line Interference Elimination in EMG Signal |
| title_unstemmed |
Methods of Power Line Interference Elimination in EMG Signal |
| title_full |
Methods of Power Line Interference Elimination in EMG Signal |
| title_fullStr |
Methods of Power Line Interference Elimination in EMG Signal |
| title_full_unstemmed |
Methods of Power Line Interference Elimination in EMG Signal |
| title_short |
Methods of Power Line Interference Elimination in EMG Signal |
| title_sort |
methods of power line interference elimination in emg signal |
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http://dx.doi.org/10.4028/www.scientific.net/jbbbe.40.64 |
| publishDate |
2019 |
| physical |
64-70 |
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<jats:p>Electromyogram (EMG) recordings are often corrupted by the wide range of artifacts, which one of them is power line interference (PLI). The study focuses on some of the well-known signal processing approaches used to eliminate or attenuate PLI from EMG signal. The results are compared using signal-to-noise ratio (SNR), correlation coefficients and Bland-Altman analysis for each tested method: notch filter, adaptive noise canceller (ANC) and wavelet transform (WT). Thus, the power of the remaining noise and shape of the output signal are analysed. The results show that the ANC method gives the best output SNR and lowest shape distortion compared to the other methods.</jats:p> |
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| author | Ladrova, Martina, Martinek, Radek, Nedoma, Jan, Fajkus, Marcel |
| author_facet | Ladrova, Martina, Martinek, Radek, Nedoma, Jan, Fajkus, Marcel, Ladrova, Martina, Martinek, Radek, Nedoma, Jan, Fajkus, Marcel |
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| container_start_page | 64 |
| container_title | Journal of Biomimetics, Biomaterials and Biomedical Engineering |
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| description | <jats:p>Electromyogram (EMG) recordings are often corrupted by the wide range of artifacts, which one of them is power line interference (PLI). The study focuses on some of the well-known signal processing approaches used to eliminate or attenuate PLI from EMG signal. The results are compared using signal-to-noise ratio (SNR), correlation coefficients and Bland-Altman analysis for each tested method: notch filter, adaptive noise canceller (ANC) and wavelet transform (WT). Thus, the power of the remaining noise and shape of the output signal are analysed. The results show that the ANC method gives the best output SNR and lowest shape distortion compared to the other methods.</jats:p> |
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| physical | 64-70 |
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| spelling | Ladrova, Martina Martinek, Radek Nedoma, Jan Fajkus, Marcel 2296-9845 Trans Tech Publications, Ltd. http://dx.doi.org/10.4028/www.scientific.net/jbbbe.40.64 <jats:p>Electromyogram (EMG) recordings are often corrupted by the wide range of artifacts, which one of them is power line interference (PLI). The study focuses on some of the well-known signal processing approaches used to eliminate or attenuate PLI from EMG signal. The results are compared using signal-to-noise ratio (SNR), correlation coefficients and Bland-Altman analysis for each tested method: notch filter, adaptive noise canceller (ANC) and wavelet transform (WT). Thus, the power of the remaining noise and shape of the output signal are analysed. The results show that the ANC method gives the best output SNR and lowest shape distortion compared to the other methods.</jats:p> Methods of Power Line Interference Elimination in EMG Signal Journal of Biomimetics, Biomaterials and Biomedical Engineering |
| spellingShingle | Ladrova, Martina, Martinek, Radek, Nedoma, Jan, Fajkus, Marcel, Journal of Biomimetics, Biomaterials and Biomedical Engineering, Methods of Power Line Interference Elimination in EMG Signal |
| title | Methods of Power Line Interference Elimination in EMG Signal |
| title_full | Methods of Power Line Interference Elimination in EMG Signal |
| title_fullStr | Methods of Power Line Interference Elimination in EMG Signal |
| title_full_unstemmed | Methods of Power Line Interference Elimination in EMG Signal |
| title_short | Methods of Power Line Interference Elimination in EMG Signal |
| title_sort | methods of power line interference elimination in emg signal |
| title_unstemmed | Methods of Power Line Interference Elimination in EMG Signal |
| url | http://dx.doi.org/10.4028/www.scientific.net/jbbbe.40.64 |