Motor unit profile: a new way to describe the scanning-EMG potential

The motor unit profile, a representation of the trajectories of positive and negative turns of a scanning-EMG signal, is a new way to characterize the motor unit potential. Such characterization allows quantification of the scanning-EMG signal's complexity, which is closely related to the a...

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Autores: Corera Orzanco, Íñigo, Malanda Trigueros, Armando, Rodríguez Falces, Javier, Porta Cuéllar, Sonia, Navallas Irujo, Javier
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2017
País:España
Institución:Universidad Pública de Navarra
Repositorio:Academica-e. Repositorio Institucional de la Universidad Pública de Navarra
OAI Identifier:oai:academica-e.unavarra.es:2454/38376
Acceso en línea:https://hdl.handle.net/2454/38376
Access Level:acceso abierto
Palabra clave:Electromyography (EMG)
Scanning-EMG
Quantitative EMG
Turns
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spelling Motor unit profile: a new way to describe the scanning-EMG potentialCorera Orzanco, ÍñigoMalanda Trigueros, ArmandoRodríguez Falces, JavierPorta Cuéllar, SoniaNavallas Irujo, JavierElectromyography (EMG)Scanning-EMGQuantitative EMGTurnsThe motor unit profile, a representation of the trajectories of positive and negative turns of a scanning-EMG signal, is a new way to characterize the motor unit potential. Such characterization allows quantification of the scanning-EMG signal's complexity, which is closely related to the anatomy and physiology of the motor unit. To extract the motor unit profile, an algorithm that detects the turns of the scanning-EMG signal and links them using point-tracking techniques has been developed. The performance of this algorithm is sensitive to three parameters: the turn detection threshold, the maximum tracking interval threshold, and the trajectory purge threshold. Real scanning-EMG signals have been used to analyze the algorithm's behavior and the influence of the algorithm's parameters and to determine which parameter values provide the best performance.This work has been supported by the Spanish Ministerio de Economía y Competitividad (MINECO), under the TEC2014-58947-R project.ElsevierIngeniería Eléctrica y ElectrónicaIngeniaritza Elektrikoa eta Elektronikoa2017info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://hdl.handle.net/2454/38376reponame:Academica-e. Repositorio Institucional de la Universidad Pública de Navarrainstname:Universidad Pública de NavarraInglésinfo:eu-repo/grantAgreement/MINECO//TEC2014-58947-R© 2017 The Authors. This is an open access article under the CC BY-NC-ND license.https://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:academica-e.unavarra.es:2454/383762026-06-17T12:41:47Z
dc.title.none.fl_str_mv Motor unit profile: a new way to describe the scanning-EMG potential
title Motor unit profile: a new way to describe the scanning-EMG potential
spellingShingle Motor unit profile: a new way to describe the scanning-EMG potential
Corera Orzanco, Íñigo
Electromyography (EMG)
Scanning-EMG
Quantitative EMG
Turns
title_short Motor unit profile: a new way to describe the scanning-EMG potential
title_full Motor unit profile: a new way to describe the scanning-EMG potential
title_fullStr Motor unit profile: a new way to describe the scanning-EMG potential
title_full_unstemmed Motor unit profile: a new way to describe the scanning-EMG potential
title_sort Motor unit profile: a new way to describe the scanning-EMG potential
dc.creator.none.fl_str_mv Corera Orzanco, Íñigo
Malanda Trigueros, Armando
Rodríguez Falces, Javier
Porta Cuéllar, Sonia
Navallas Irujo, Javier
author Corera Orzanco, Íñigo
author_facet Corera Orzanco, Íñigo
Malanda Trigueros, Armando
Rodríguez Falces, Javier
Porta Cuéllar, Sonia
Navallas Irujo, Javier
author_role author
author2 Malanda Trigueros, Armando
Rodríguez Falces, Javier
Porta Cuéllar, Sonia
Navallas Irujo, Javier
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Ingeniería Eléctrica y Electrónica
Ingeniaritza Elektrikoa eta Elektronikoa
dc.subject.none.fl_str_mv Electromyography (EMG)
Scanning-EMG
Quantitative EMG
Turns
topic Electromyography (EMG)
Scanning-EMG
Quantitative EMG
Turns
description The motor unit profile, a representation of the trajectories of positive and negative turns of a scanning-EMG signal, is a new way to characterize the motor unit potential. Such characterization allows quantification of the scanning-EMG signal's complexity, which is closely related to the anatomy and physiology of the motor unit. To extract the motor unit profile, an algorithm that detects the turns of the scanning-EMG signal and links them using point-tracking techniques has been developed. The performance of this algorithm is sensitive to three parameters: the turn detection threshold, the maximum tracking interval threshold, and the trajectory purge threshold. Real scanning-EMG signals have been used to analyze the algorithm's behavior and the influence of the algorithm's parameters and to determine which parameter values provide the best performance.
publishDate 2017
dc.date.none.fl_str_mv 2017
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/2454/38376
url https://hdl.handle.net/2454/38376
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 © 2017 The Authors. This is an open access article under the CC BY-NC-ND license.
https://creativecommons.org/licenses/by-nc-nd/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv © 2017 The Authors. This is an open access article under the CC BY-NC-ND license.
https://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
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
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,81155

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