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Article

Processing of EMG Signals with High Impact of Power Line and Cardiac Interferences

1
Institute of Applied Computer Science, Lodz University of Technology, 90-924 Łódź, Poland
2
Polish Mother’s Memorial Hospital Research Institute, 93-338 Łódź, Poland
3
Institute of Electronics, Lodz University of Technology, 90-924 Łódź, Poland
4
Institute of Automatic Control, Lodz University of Technology, 90-924 Łódź, Poland
*
Author to whom correspondence should be addressed.
Academic Editor: Arcangelo Castiglione
Appl. Sci. 2021, 11(10), 4625; https://doi.org/10.3390/app11104625
Received: 16 April 2021 / Revised: 30 April 2021 / Accepted: 13 May 2021 / Published: 19 May 2021
(This article belongs to the Special Issue Novel Advances of Image and Signal Processing)
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. View Full-Text
Keywords: EMG signal processing; biosignals; IIR filtering; comb filter; FFT EMG signal processing; biosignals; IIR filtering; comb filter; FFT
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MDPI and ACS Style

Strzecha, K.; Krakós, M.; Więcek, B.; Chudzik, P.; Tatar, K.; Lisowski, G.; Mosorov, V.; Sankowski, D. Processing of EMG Signals with High Impact of Power Line and Cardiac Interferences. Appl. Sci. 2021, 11, 4625. https://doi.org/10.3390/app11104625

AMA Style

Strzecha K, Krakós M, Więcek B, Chudzik P, Tatar K, Lisowski G, Mosorov V, Sankowski D. Processing of EMG Signals with High Impact of Power Line and Cardiac Interferences. Applied Sciences. 2021; 11(10):4625. https://doi.org/10.3390/app11104625

Chicago/Turabian Style

Strzecha, Krzysztof, Marek Krakós, Bogusław Więcek, Piotr Chudzik, Karol Tatar, Grzegorz Lisowski, Volodymyr Mosorov, and Dominik Sankowski. 2021. "Processing of EMG Signals with High Impact of Power Line and Cardiac Interferences" Applied Sciences 11, no. 10: 4625. https://doi.org/10.3390/app11104625

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