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Comparing Different Filter-Parameter for Pre-Processing of Brain-Stimulation Evoked Motor Potentials
Background: Brain stimulation motor-evoked potentials (MEPs) are transient signals and not periodic signals, and thus, they differ significantly in their properties from classical surface electromyograms. Unsuitable pre-processing of MEPs due to inappropriate filter settings leads to distortions. Fi...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8469458/ https://www.ncbi.nlm.nih.gov/pubmed/34573140 http://dx.doi.org/10.3390/brainsci11091118 |
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author | Zschorlich, Volker R. Qi, Fengxue Wolff, Norbert |
author_facet | Zschorlich, Volker R. Qi, Fengxue Wolff, Norbert |
author_sort | Zschorlich, Volker R. |
collection | PubMed |
description | Background: Brain stimulation motor-evoked potentials (MEPs) are transient signals and not periodic signals, and thus, they differ significantly in their properties from classical surface electromyograms. Unsuitable pre-processing of MEPs due to inappropriate filter settings leads to distortions. Filtering of extensor carpi radialis MEPs with transient signal characteristics of 20 subjects was examined. The effects of a 1st-order Butterworth high-pass filter (HPF) with different cut-off frequencies 1 Hz, 20 Hz, 40 Hz, and 80 Hz and a 5 Hz Butterworth high-pass filter with degrees 1st, 2nd, 4th, 8th-order are investigated for the filter output. Results: The filtering of the MEPs with an inappropriate filter setting led to distortions on the parameters peak-to-peak amplitudes of the MEP (MEP(pp)) and the absolute integral of the MEP (MEP(area)). The lowest distortions of all of the examined filter parameters were revealed after filtering with the lowest filter order and the lowest cut-off frequency. The 1st-order 1 Hz HPF calculation results in a difference of −0.53% (p < 0.001) for the MEPpp and −1.94% (p < 0.001) for the MEParea. Significance: Reproducibility is a major concern in science, including brain stimulation research. Only the filtering of the MEPs with appropriate filter settings led to mostly undistorted MEPs. |
format | Online Article Text |
id | pubmed-8469458 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-84694582021-09-27 Comparing Different Filter-Parameter for Pre-Processing of Brain-Stimulation Evoked Motor Potentials Zschorlich, Volker R. Qi, Fengxue Wolff, Norbert Brain Sci Article Background: Brain stimulation motor-evoked potentials (MEPs) are transient signals and not periodic signals, and thus, they differ significantly in their properties from classical surface electromyograms. Unsuitable pre-processing of MEPs due to inappropriate filter settings leads to distortions. Filtering of extensor carpi radialis MEPs with transient signal characteristics of 20 subjects was examined. The effects of a 1st-order Butterworth high-pass filter (HPF) with different cut-off frequencies 1 Hz, 20 Hz, 40 Hz, and 80 Hz and a 5 Hz Butterworth high-pass filter with degrees 1st, 2nd, 4th, 8th-order are investigated for the filter output. Results: The filtering of the MEPs with an inappropriate filter setting led to distortions on the parameters peak-to-peak amplitudes of the MEP (MEP(pp)) and the absolute integral of the MEP (MEP(area)). The lowest distortions of all of the examined filter parameters were revealed after filtering with the lowest filter order and the lowest cut-off frequency. The 1st-order 1 Hz HPF calculation results in a difference of −0.53% (p < 0.001) for the MEPpp and −1.94% (p < 0.001) for the MEParea. Significance: Reproducibility is a major concern in science, including brain stimulation research. Only the filtering of the MEPs with appropriate filter settings led to mostly undistorted MEPs. MDPI 2021-08-24 /pmc/articles/PMC8469458/ /pubmed/34573140 http://dx.doi.org/10.3390/brainsci11091118 Text en © 2021 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 Zschorlich, Volker R. Qi, Fengxue Wolff, Norbert Comparing Different Filter-Parameter for Pre-Processing of Brain-Stimulation Evoked Motor Potentials |
title | Comparing Different Filter-Parameter for Pre-Processing of Brain-Stimulation Evoked Motor Potentials |
title_full | Comparing Different Filter-Parameter for Pre-Processing of Brain-Stimulation Evoked Motor Potentials |
title_fullStr | Comparing Different Filter-Parameter for Pre-Processing of Brain-Stimulation Evoked Motor Potentials |
title_full_unstemmed | Comparing Different Filter-Parameter for Pre-Processing of Brain-Stimulation Evoked Motor Potentials |
title_short | Comparing Different Filter-Parameter for Pre-Processing of Brain-Stimulation Evoked Motor Potentials |
title_sort | comparing different filter-parameter for pre-processing of brain-stimulation evoked motor potentials |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8469458/ https://www.ncbi.nlm.nih.gov/pubmed/34573140 http://dx.doi.org/10.3390/brainsci11091118 |
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