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Reducing Power Line Interference from sEMG Signals Based on Synchrosqueezed Wavelet Transform

Power line interference (PLI) is a major source of noise in sEMG signals. As the bandwidth of PLI overlaps with the sEMG signals, it can easily affect the interpretation of the signal. The processing methods used in the literature are mostly notch filtering and spectral interpolation. However, it is...

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Autores principales: Chen, Jingcheng, Sun, Yining, Sun, Shaoming, Yao, Zhiming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10255723/
https://www.ncbi.nlm.nih.gov/pubmed/37299908
http://dx.doi.org/10.3390/s23115182
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author Chen, Jingcheng
Sun, Yining
Sun, Shaoming
Yao, Zhiming
author_facet Chen, Jingcheng
Sun, Yining
Sun, Shaoming
Yao, Zhiming
author_sort Chen, Jingcheng
collection PubMed
description Power line interference (PLI) is a major source of noise in sEMG signals. As the bandwidth of PLI overlaps with the sEMG signals, it can easily affect the interpretation of the signal. The processing methods used in the literature are mostly notch filtering and spectral interpolation. However, it is difficult for the former to reconcile the contradiction between completely filtering and avoiding signal distortion, while the latter performs poorly in the case of a time-varying PLI. To solve these, a novel synchrosqueezed-wavelet-transform (SWT)-based PLI filter is proposed. The local SWT was developed to reduce the computation cost while maintaining the frequency resolution. A ridge location method based on an adaptive threshold is presented. In addition, two ridge extraction methods (REMs) are proposed to fit different application requirements. Parameters were optimized before further study. Notch filtering, spectral interpolation, and the proposed filter were evaluated on the simulated signals and real signals. The output signal-to-noise ratio (SNR) ranges of the proposed filter with two different REMs are 18.53–24.57 and 18.57–26.92. Both the quantitative index and the time–frequency spectrum diagram show that the performance of the proposed filter is significantly better than that of the other filters.
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spelling pubmed-102557232023-06-10 Reducing Power Line Interference from sEMG Signals Based on Synchrosqueezed Wavelet Transform Chen, Jingcheng Sun, Yining Sun, Shaoming Yao, Zhiming Sensors (Basel) Article Power line interference (PLI) is a major source of noise in sEMG signals. As the bandwidth of PLI overlaps with the sEMG signals, it can easily affect the interpretation of the signal. The processing methods used in the literature are mostly notch filtering and spectral interpolation. However, it is difficult for the former to reconcile the contradiction between completely filtering and avoiding signal distortion, while the latter performs poorly in the case of a time-varying PLI. To solve these, a novel synchrosqueezed-wavelet-transform (SWT)-based PLI filter is proposed. The local SWT was developed to reduce the computation cost while maintaining the frequency resolution. A ridge location method based on an adaptive threshold is presented. In addition, two ridge extraction methods (REMs) are proposed to fit different application requirements. Parameters were optimized before further study. Notch filtering, spectral interpolation, and the proposed filter were evaluated on the simulated signals and real signals. The output signal-to-noise ratio (SNR) ranges of the proposed filter with two different REMs are 18.53–24.57 and 18.57–26.92. Both the quantitative index and the time–frequency spectrum diagram show that the performance of the proposed filter is significantly better than that of the other filters. MDPI 2023-05-29 /pmc/articles/PMC10255723/ /pubmed/37299908 http://dx.doi.org/10.3390/s23115182 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Chen, Jingcheng
Sun, Yining
Sun, Shaoming
Yao, Zhiming
Reducing Power Line Interference from sEMG Signals Based on Synchrosqueezed Wavelet Transform
title Reducing Power Line Interference from sEMG Signals Based on Synchrosqueezed Wavelet Transform
title_full Reducing Power Line Interference from sEMG Signals Based on Synchrosqueezed Wavelet Transform
title_fullStr Reducing Power Line Interference from sEMG Signals Based on Synchrosqueezed Wavelet Transform
title_full_unstemmed Reducing Power Line Interference from sEMG Signals Based on Synchrosqueezed Wavelet Transform
title_short Reducing Power Line Interference from sEMG Signals Based on Synchrosqueezed Wavelet Transform
title_sort reducing power line interference from semg signals based on synchrosqueezed wavelet transform
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10255723/
https://www.ncbi.nlm.nih.gov/pubmed/37299908
http://dx.doi.org/10.3390/s23115182
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