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The effects of notch filtering on electrically evoked myoelectric signals and associated motor unit index estimates

BACKGROUND: Notch filtering is the most commonly used technique for suppression of power line and harmonic interference that often contaminate surface electromyogram (EMG) signals. Notch filters are routinely included in EMG recording instrumentation, and are used very often during clinical recordin...

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Autores principales: Li, Xiaoyan, Rymer, William Z, Li, Guanglin, Zhou, Ping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3305526/
https://www.ncbi.nlm.nih.gov/pubmed/22112379
http://dx.doi.org/10.1186/1743-0003-8-64
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author Li, Xiaoyan
Rymer, William Z
Li, Guanglin
Zhou, Ping
author_facet Li, Xiaoyan
Rymer, William Z
Li, Guanglin
Zhou, Ping
author_sort Li, Xiaoyan
collection PubMed
description BACKGROUND: Notch filtering is the most commonly used technique for suppression of power line and harmonic interference that often contaminate surface electromyogram (EMG) signals. Notch filters are routinely included in EMG recording instrumentation, and are used very often during clinical recording sessions. The objective of this study was to quantitatively assess the effects of notch filtering on electrically evoked myoelectric signals and on the related motor unit index measurements. METHODS: The study was primarily based on an experimental comparison of M wave recordings and index estimates of motor unit number and size, with the notch filter function of the EMG machine (Sierra Wave EMG system, Cadwell Lab Inc, Kennewick, WA, USA) turned on and off, respectively. The comparison was implemented in the first dorsal interosseous (FDI) muscle from the dominant hand of 15 neurologically intact subjects and bilaterally in 15 hemiparetic stroke subjects. RESULTS: On average, for intact subjects, the maximum M wave amplitude and the motor unit number index (MUNIX) estimate were reduced by approximately 22% and 18%, respectively, with application of the built-in notch filter function in the EMG machine. This trend held true when examining the paretic and contralateral muscles of the stroke subjects. With the notch filter on vs. off, across stroke subjects, we observed a significant decrease in both maximum M wave amplitude and MUNIX values in the paretic muscles, as compared with the contralateral muscles. However, similar reduction ratios were obtained for both maximum M wave amplitude and MUNIX estimate. Across muscles of both intact and stroke subjects, it was observed that notch filtering does not have significant effects on motor unit size index (MUSIX) estimate. No significant difference was found in MUSIX values between the paretic and contralateral muscles of the stroke subjects. CONCLUSIONS: The notch filter function built in the EMG machine may significantly reduce the M wave amplitude and the MUNIX measurement. However, the notch filtering does not jeopardize the evaluation of the reduction ratio in maximum M wave amplitude and MUNIX estimate of the paretic muscles of stroke subjects when compared with the contralateral muscles.
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spelling pubmed-33055262012-03-16 The effects of notch filtering on electrically evoked myoelectric signals and associated motor unit index estimates Li, Xiaoyan Rymer, William Z Li, Guanglin Zhou, Ping J Neuroeng Rehabil Research BACKGROUND: Notch filtering is the most commonly used technique for suppression of power line and harmonic interference that often contaminate surface electromyogram (EMG) signals. Notch filters are routinely included in EMG recording instrumentation, and are used very often during clinical recording sessions. The objective of this study was to quantitatively assess the effects of notch filtering on electrically evoked myoelectric signals and on the related motor unit index measurements. METHODS: The study was primarily based on an experimental comparison of M wave recordings and index estimates of motor unit number and size, with the notch filter function of the EMG machine (Sierra Wave EMG system, Cadwell Lab Inc, Kennewick, WA, USA) turned on and off, respectively. The comparison was implemented in the first dorsal interosseous (FDI) muscle from the dominant hand of 15 neurologically intact subjects and bilaterally in 15 hemiparetic stroke subjects. RESULTS: On average, for intact subjects, the maximum M wave amplitude and the motor unit number index (MUNIX) estimate were reduced by approximately 22% and 18%, respectively, with application of the built-in notch filter function in the EMG machine. This trend held true when examining the paretic and contralateral muscles of the stroke subjects. With the notch filter on vs. off, across stroke subjects, we observed a significant decrease in both maximum M wave amplitude and MUNIX values in the paretic muscles, as compared with the contralateral muscles. However, similar reduction ratios were obtained for both maximum M wave amplitude and MUNIX estimate. Across muscles of both intact and stroke subjects, it was observed that notch filtering does not have significant effects on motor unit size index (MUSIX) estimate. No significant difference was found in MUSIX values between the paretic and contralateral muscles of the stroke subjects. CONCLUSIONS: The notch filter function built in the EMG machine may significantly reduce the M wave amplitude and the MUNIX measurement. However, the notch filtering does not jeopardize the evaluation of the reduction ratio in maximum M wave amplitude and MUNIX estimate of the paretic muscles of stroke subjects when compared with the contralateral muscles. BioMed Central 2011-11-23 /pmc/articles/PMC3305526/ /pubmed/22112379 http://dx.doi.org/10.1186/1743-0003-8-64 Text en Copyright ©2011 Li et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Li, Xiaoyan
Rymer, William Z
Li, Guanglin
Zhou, Ping
The effects of notch filtering on electrically evoked myoelectric signals and associated motor unit index estimates
title The effects of notch filtering on electrically evoked myoelectric signals and associated motor unit index estimates
title_full The effects of notch filtering on electrically evoked myoelectric signals and associated motor unit index estimates
title_fullStr The effects of notch filtering on electrically evoked myoelectric signals and associated motor unit index estimates
title_full_unstemmed The effects of notch filtering on electrically evoked myoelectric signals and associated motor unit index estimates
title_short The effects of notch filtering on electrically evoked myoelectric signals and associated motor unit index estimates
title_sort effects of notch filtering on electrically evoked myoelectric signals and associated motor unit index estimates
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3305526/
https://www.ncbi.nlm.nih.gov/pubmed/22112379
http://dx.doi.org/10.1186/1743-0003-8-64
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