A masked least-squares smoothing procedure for artifact reduction in scanning-EMG recordings

Scanning-EMG is an electrophysiological technique in which the electrical activity of the motor unit is recorded at multiple points along a corridor crossing the motor unit territory. Correct analysis of the scanning-EMG signal requires prior elimination of interference from nearby motor units. Alth...

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Detalhes bibliográficos
Autores: Corera Orzanco, Íñigo, Eciolaza Ferrando, Adrián, Rubio Zamora, Oliver, Malanda Trigueros, Armando, Rodríguez Falces, Javier, Navallas Irujo, Javier
Formato: artículo
Estado:Versión publicada
Fecha de publicación:2018
País:España
Recursos:Universidad Pública de Navarra
Repositorio:Academica-e. Repositorio Institucional de la Universidad Pública de Navarra
OAI Identifier:oai:academica-e.unavarra.es:2454/38585
Acesso em linha:https://hdl.handle.net/2454/38585
Access Level:acceso abierto
Palavra-chave:Electromyography
Scanning-EMG
Signal processing
Motor unit
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spelling A masked least-squares smoothing procedure for artifact reduction in scanning-EMG recordingsCorera Orzanco, ÍñigoEciolaza Ferrando, AdriánRubio Zamora, OliverMalanda Trigueros, ArmandoRodríguez Falces, JavierNavallas Irujo, JavierElectromyographyScanning-EMGSignal processingMotor unitScanning-EMG is an electrophysiological technique in which the electrical activity of the motor unit is recorded at multiple points along a corridor crossing the motor unit territory. Correct analysis of the scanning-EMG signal requires prior elimination of interference from nearby motor units. Although the traditional processing based on the median filtering is effective in removing such interference, it distorts the physiological waveform of the scanning-EMG signal. In this study, we describe a new scanning-EMG signal processing algorithm that preserves the physiological signal waveform while effectively removing interference from other motor units. To obtain a cleaned-up version of the scanning signal, the masked least-squares smoothing (MLSS) algorithm recalculates and replaces each sample value of the signal using a least-squares smoothing in the spatial dimension, taking into account the information of only those samples that are not contaminated with activity of other motor units. The performance of the new algorithm with simulated scanning-EMG signals is studied and compared with the performance of the median algorithm and tested with real scanning signals. Results show that the MLSS algorithm distorts the waveform of the scanning-EMG signal much less than the median algorithm (approximately 3.5 dB gain), being at the same time very effective at removing interference components.This work was supported by the Spanish Ministerio de Economía y Competitividad (MINECO), under the TEC2014-58947-R project.SpringerIngeniería Eléctrica, Electrónica y de ComunicaciónIngeniaritza Elektrikoa, Elektronikoaren eta Telekomunikazio Ingeniaritzaren2018info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://hdl.handle.net/2454/38585reponame:Academica-e. Repositorio Institucional de la Universidad Pública de Navarrainstname:Universidad Pública de NavarraInglésinfo:eu-repo/grantAgreement/MINECO//TEC2014-58947-R© The Author(s) 2018. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.https://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:academica-e.unavarra.es:2454/385852026-06-17T12:41:47Z
dc.title.none.fl_str_mv A masked least-squares smoothing procedure for artifact reduction in scanning-EMG recordings
title A masked least-squares smoothing procedure for artifact reduction in scanning-EMG recordings
spellingShingle A masked least-squares smoothing procedure for artifact reduction in scanning-EMG recordings
Corera Orzanco, Íñigo
Electromyography
Scanning-EMG
Signal processing
Motor unit
title_short A masked least-squares smoothing procedure for artifact reduction in scanning-EMG recordings
title_full A masked least-squares smoothing procedure for artifact reduction in scanning-EMG recordings
title_fullStr A masked least-squares smoothing procedure for artifact reduction in scanning-EMG recordings
title_full_unstemmed A masked least-squares smoothing procedure for artifact reduction in scanning-EMG recordings
title_sort A masked least-squares smoothing procedure for artifact reduction in scanning-EMG recordings
dc.creator.none.fl_str_mv Corera Orzanco, Íñigo
Eciolaza Ferrando, Adrián
Rubio Zamora, Oliver
Malanda Trigueros, Armando
Rodríguez Falces, Javier
Navallas Irujo, Javier
author Corera Orzanco, Íñigo
author_facet Corera Orzanco, Íñigo
Eciolaza Ferrando, Adrián
Rubio Zamora, Oliver
Malanda Trigueros, Armando
Rodríguez Falces, Javier
Navallas Irujo, Javier
author_role author
author2 Eciolaza Ferrando, Adrián
Rubio Zamora, Oliver
Malanda Trigueros, Armando
Rodríguez Falces, Javier
Navallas Irujo, Javier
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Ingeniería Eléctrica, Electrónica y de Comunicación
Ingeniaritza Elektrikoa, Elektronikoaren eta Telekomunikazio Ingeniaritzaren
dc.subject.none.fl_str_mv Electromyography
Scanning-EMG
Signal processing
Motor unit
topic Electromyography
Scanning-EMG
Signal processing
Motor unit
description Scanning-EMG is an electrophysiological technique in which the electrical activity of the motor unit is recorded at multiple points along a corridor crossing the motor unit territory. Correct analysis of the scanning-EMG signal requires prior elimination of interference from nearby motor units. Although the traditional processing based on the median filtering is effective in removing such interference, it distorts the physiological waveform of the scanning-EMG signal. In this study, we describe a new scanning-EMG signal processing algorithm that preserves the physiological signal waveform while effectively removing interference from other motor units. To obtain a cleaned-up version of the scanning signal, the masked least-squares smoothing (MLSS) algorithm recalculates and replaces each sample value of the signal using a least-squares smoothing in the spatial dimension, taking into account the information of only those samples that are not contaminated with activity of other motor units. The performance of the new algorithm with simulated scanning-EMG signals is studied and compared with the performance of the median algorithm and tested with real scanning signals. Results show that the MLSS algorithm distorts the waveform of the scanning-EMG signal much less than the median algorithm (approximately 3.5 dB gain), being at the same time very effective at removing interference components.
publishDate 2018
dc.date.none.fl_str_mv 2018
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://hdl.handle.net/2454/38585
url https://hdl.handle.net/2454/38585
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv info:eu-repo/grantAgreement/MINECO//TEC2014-58947-R
dc.rights.none.fl_str_mv https://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Springer
publisher.none.fl_str_mv Springer
dc.source.none.fl_str_mv reponame:Academica-e. Repositorio Institucional de la Universidad Pública de Navarra
instname:Universidad Pública de Navarra
instname_str Universidad Pública de Navarra
reponame_str Academica-e. Repositorio Institucional de la Universidad Pública de Navarra
collection Academica-e. Repositorio Institucional de la Universidad Pública de Navarra
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