Processing of EMG Signals with High Impact of Power Line and Cardiac Interferences
This work deals with electromyography (EMG) signal processing for the diagnosis and therapy of different muscles. Because the correct muscle activity measurement of strongly noised EMG signals is the major hurdle in medical applications, a raw measured EMG signal should be cleaned of different facto...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-05-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/11/10/4625 |
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| author | Krzysztof Strzecha Marek Krakós Bogusław Więcek Piotr Chudzik Karol Tatar Grzegorz Lisowski Volodymyr Mosorov Dominik Sankowski |
| author_facet | Krzysztof Strzecha Marek Krakós Bogusław Więcek Piotr Chudzik Karol Tatar Grzegorz Lisowski Volodymyr Mosorov Dominik Sankowski |
| author_sort | Krzysztof Strzecha |
| collection | DOAJ |
| description | This work deals with electromyography (EMG) signal processing for the diagnosis and therapy of different muscles. Because the correct muscle activity measurement of strongly noised EMG signals is the major hurdle in medical applications, a raw measured EMG signal should be cleaned of different factors like power network interference and ECG heartbeat. Unfortunately, there are no completed studies showing full multistage signal processing of EMG recordings. In this article, the authors propose an original algorithm to perform muscle activity measurements based on raw measurements. The effectiveness of the proposed algorithm for EMG signal measurement was validated by a portable EMG system developed as a part of the EU research project and EMG raw measurement sets. Examples of removing the parasitic interferences are presented for each stage of signal processing. Finally, it is shown that the proposed processing of EMG signals enables cleaning of the EMG signal with minimal loss of the diagnostic content. |
| first_indexed | 2024-03-10T11:16:42Z |
| format | Article |
| id | doaj.art-04c7c2b853904fc999bda996045c79a8 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T11:16:42Z |
| publishDate | 2021-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-04c7c2b853904fc999bda996045c79a82023-11-21T20:21:14ZengMDPI AGApplied Sciences2076-34172021-05-011110462510.3390/app11104625Processing of EMG Signals with High Impact of Power Line and Cardiac InterferencesKrzysztof Strzecha0Marek Krakós1Bogusław Więcek2Piotr Chudzik3Karol Tatar4Grzegorz Lisowski5Volodymyr Mosorov6Dominik Sankowski7Institute of Applied Computer Science, Lodz University of Technology, 90-924 Łódź, PolandPolish Mother’s Memorial Hospital Research Institute, 93-338 Łódź, PolandInstitute of Electronics, Lodz University of Technology, 90-924 Łódź, PolandInstitute of Automatic Control, Lodz University of Technology, 90-924 Łódź, PolandInstitute of Automatic Control, Lodz University of Technology, 90-924 Łódź, PolandInstitute of Automatic Control, Lodz University of Technology, 90-924 Łódź, PolandInstitute of Applied Computer Science, Lodz University of Technology, 90-924 Łódź, PolandInstitute of Applied Computer Science, Lodz University of Technology, 90-924 Łódź, PolandThis work deals with electromyography (EMG) signal processing for the diagnosis and therapy of different muscles. Because the correct muscle activity measurement of strongly noised EMG signals is the major hurdle in medical applications, a raw measured EMG signal should be cleaned of different factors like power network interference and ECG heartbeat. Unfortunately, there are no completed studies showing full multistage signal processing of EMG recordings. In this article, the authors propose an original algorithm to perform muscle activity measurements based on raw measurements. The effectiveness of the proposed algorithm for EMG signal measurement was validated by a portable EMG system developed as a part of the EU research project and EMG raw measurement sets. Examples of removing the parasitic interferences are presented for each stage of signal processing. Finally, it is shown that the proposed processing of EMG signals enables cleaning of the EMG signal with minimal loss of the diagnostic content.https://www.mdpi.com/2076-3417/11/10/4625EMG signal processingbiosignalsIIR filteringcomb filterFFT |
| spellingShingle | Krzysztof Strzecha Marek Krakós Bogusław Więcek Piotr Chudzik Karol Tatar Grzegorz Lisowski Volodymyr Mosorov Dominik Sankowski Processing of EMG Signals with High Impact of Power Line and Cardiac Interferences Applied Sciences EMG signal processing biosignals IIR filtering comb filter FFT |
| title | Processing of EMG Signals with High Impact of Power Line and Cardiac Interferences |
| title_full | Processing of EMG Signals with High Impact of Power Line and Cardiac Interferences |
| title_fullStr | Processing of EMG Signals with High Impact of Power Line and Cardiac Interferences |
| title_full_unstemmed | Processing of EMG Signals with High Impact of Power Line and Cardiac Interferences |
| title_short | Processing of EMG Signals with High Impact of Power Line and Cardiac Interferences |
| title_sort | processing of emg signals with high impact of power line and cardiac interferences |
| topic | EMG signal processing biosignals IIR filtering comb filter FFT |
| url | https://www.mdpi.com/2076-3417/11/10/4625 |
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