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EMG signal processing for the study of localized muscle fatigue—pilot study to explore the applicability of a novel method

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Resumo:This pilot study aimed to explore a method for characterization of the electromyogram frequency spectrum during a sustained exertion task, performed by the upper limb. Methods: Nine participants underwent an isometric localized muscle fatigue protocol on an isokinetic dynamometer until exhaustion, while monitored with surface electromyography (sEMG) of the shoulder’s external rotators. Firstly, three methods of signal energy analysis based on primer frequency contributors were compared to the energy of the entire spectrum. Secondly, the chosen method of analysis was used to characterize the signal energy at beginning (T1), in the middle (T2) and at the end (T3) of the fatigue protocol and compared to the torque output and the shift in the median frequencies during the trial. Results: There were statistically significant differences between T1 and T3 for signal energy (p < 0.007) and for central frequency of the interval (p = 0.003). Moreover, the isometric peak torque was also different between T1 and T3 (p < 0.001). Overall, there were no differences between the signal energy enclosed in the 40 primer frequency contributors and the analysis of the full spectrum energy; consequently, it was the method of choice. The reported fatigue and the decrease in the produced muscle torque was consistent with fatigue-induced alterations in the electromyogram frequency spectrum. In conclusion, the developed protocol has potential to be considered as an easy-to-use method for EMG-based analysis of isometric muscle exertion until fatigue. Thus, the novelty of the proposed method is to explore, in muscle fatigue, the use of only the main contributors in the frequency domain of the EMG spectrum, avoiding surplus information, that may not represent muscle functioning. However, further studies are needed to investigate the stability of the present findings in a more comprehensive sample.
Autores principais:Rodrigues, Sandra Beatriz
Outros Autores:Faria, Luís Palermo; Monteiro, A.M.; Lima, José; Barbosa, Tiago M.; Duarte, José Alberto
Assunto:Surface electromyography sEMG Frequency spectrum Fast Fourier transformation Fatigue Signal processing Isokinetic dynamometer Research Subject Categories::INTERDISCIPLINARY RESEARCH AREAS::Sports
Ano:2022
País:Portugal
Tipo de documento:artigo
Tipo de acesso:acesso aberto
Instituição associada:Instituto Politécnico de Bragança
Idioma:inglês
Origem:Biblioteca Digital do IPB
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author Rodrigues, Sandra Beatriz
author2 Faria, Luís Palermo
Monteiro, A.M.
Lima, José
Barbosa, Tiago M.
Duarte, José Alberto
author2_role author
author
author
author
author
author_facet Rodrigues, Sandra Beatriz
Faria, Luís Palermo
Monteiro, A.M.
Lima, José
Barbosa, Tiago M.
Duarte, José Alberto
author_role author
contributor_name_str_mv Biblioteca Digital do IPB
country_str PT
creators_json_str [{\"Person.name\":\"Rodrigues, Sandra Beatriz\"},{\"Person.name\":\"Faria, Luís Palermo\"},{\"Person.name\":\"Monteiro, A.M.\",\"Person.identifier.orcid\":\"0000-0003-4467-1722\"},{\"Person.name\":\"Lima, José\",\"Person.identifier.orcid\":\"0000-0001-7902-1207\"},{\"Person.name\":\"Barbosa, Tiago M.\",\"Person.identifier.orcid\":\"0000-0001-7071-2116\"},{\"Person.name\":\"Duarte, José Alberto\"}]
datacite.contributors.contributor.contributorName.fl_str_mv Biblioteca Digital do IPB
datacite.creators.creator.creatorName.fl_str_mv Rodrigues, Sandra Beatriz
Faria, Luís Palermo
Monteiro, A.M.
Lima, José
Barbosa, Tiago M.
Duarte, José Alberto
datacite.date.Accepted.fl_str_mv 2022-01-01T00:00:00Z
datacite.date.available.fl_str_mv 2022-12-06T10:27:41Z
datacite.date.embargoed.fl_str_mv 2022-12-06T10:27:41Z
datacite.rights.fl_str_mv http://purl.org/coar/access_right/c_abf2
datacite.subjects.subject.fl_str_mv Surface electromyography
sEMG
Frequency spectrum
Fast Fourier transformation
Fatigue
Signal processing
Isokinetic dynamometer
Research Subject Categories::INTERDISCIPLINARY RESEARCH AREAS::Sports
datacite.titles.title.fl_str_mv EMG signal processing for the study of localized muscle fatigue—pilot study to explore the applicability of a novel method
dc.contributor.none.fl_str_mv Biblioteca Digital do IPB
dc.creator.none.fl_str_mv Rodrigues, Sandra Beatriz
Faria, Luís Palermo
Monteiro, A.M.
Lima, José
Barbosa, Tiago M.
Duarte, José Alberto
dc.date.Accepted.fl_str_mv 2022-01-01T00:00:00Z
dc.date.available.fl_str_mv 2022-12-06T10:27:41Z
dc.date.embargoed.fl_str_mv 2022-12-06T10:27:41Z
dc.format.none.fl_str_mv application/pdf
dc.identifier.none.fl_str_mv http://hdl.handle.net/10198/26150
dc.language.none.fl_str_mv eng
dc.publisher.none.fl_str_mv MDPI
dc.rights.cclincense.fl_str_mv http://creativecommons.org/licenses/by/4.0/
dc.rights.none.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.subject.none.fl_str_mv Surface electromyography
sEMG
Frequency spectrum
Fast Fourier transformation
Fatigue
Signal processing
Isokinetic dynamometer
Research Subject Categories::INTERDISCIPLINARY RESEARCH AREAS::Sports
dc.title.fl_str_mv EMG signal processing for the study of localized muscle fatigue—pilot study to explore the applicability of a novel method
dc.type.none.fl_str_mv http://purl.org/coar/resource_type/c_6501
description This pilot study aimed to explore a method for characterization of the electromyogram frequency spectrum during a sustained exertion task, performed by the upper limb. Methods: Nine participants underwent an isometric localized muscle fatigue protocol on an isokinetic dynamometer until exhaustion, while monitored with surface electromyography (sEMG) of the shoulder’s external rotators. Firstly, three methods of signal energy analysis based on primer frequency contributors were compared to the energy of the entire spectrum. Secondly, the chosen method of analysis was used to characterize the signal energy at beginning (T1), in the middle (T2) and at the end (T3) of the fatigue protocol and compared to the torque output and the shift in the median frequencies during the trial. Results: There were statistically significant differences between T1 and T3 for signal energy (p < 0.007) and for central frequency of the interval (p = 0.003). Moreover, the isometric peak torque was also different between T1 and T3 (p < 0.001). Overall, there were no differences between the signal energy enclosed in the 40 primer frequency contributors and the analysis of the full spectrum energy; consequently, it was the method of choice. The reported fatigue and the decrease in the produced muscle torque was consistent with fatigue-induced alterations in the electromyogram frequency spectrum. In conclusion, the developed protocol has potential to be considered as an easy-to-use method for EMG-based analysis of isometric muscle exertion until fatigue. Thus, the novelty of the proposed method is to explore, in muscle fatigue, the use of only the main contributors in the frequency domain of the EMG spectrum, avoiding surplus information, that may not represent muscle functioning. However, further studies are needed to investigate the stability of the present findings in a more comprehensive sample.
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eu_rights_str_mv openAccess
format article
fulltext.url.fl_str_mv https://bibliotecadigital.ipb.pt/bitstreams/e889495f-9625-4ac8-abbd-5008926578de/download
funding.funder.alternateName_str_mv FCT
FCT
funding.funder.identifier_str_mv http://doi.org/10.13039/501100001871
http://doi.org/10.13039/501100001871
funding.funder.name_str_mv Fundação para a Ciência e a Tecnologia
Fundação para a Ciência e a Tecnologia
funding.name_str_mv 6817 - DCRRNI ID
6817 - DCRRNI ID
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identifier.url.fl_str_mv http://hdl.handle.net/10198/26150
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oai_identifier_str oai:bibliotecadigital.ipb.pt:10198/26150
organization_str_mv urn:organizationAcronym:ipb
person_str_mv Rodrigues, Sandra Beatriz
Faria, Luís Palermo
Monteiro, A.M.
Monteiro, A.M.
https://www.ciencia-id.pt/C41C-6CCD-A1F0
C41C-6CCD-A1F0
http://orcid.org/0000-0003-4467-1722
0000-0003-4467-1722
Lima, José
Lima, José
https://www.ciencia-id.pt/6016-C902-86A9
6016-C902-86A9
http://orcid.org/0000-0001-7902-1207
0000-0001-7902-1207
Barbosa, Tiago M.
Barbosa, Tiago M.
https://www.ciencia-id.pt/8B11-BDC4-F6FF
8B11-BDC4-F6FF
http://orcid.org/0000-0001-7071-2116
0000-0001-7071-2116
Duarte, José Alberto
publishDate 2022
publisher.none.fl_str_mv MDPI
reponame_str Biblioteca Digital do IPB
repository_id_str urn:repositoryAcronym:ipb
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spelling engMDPIpt_PTThis pilot study aimed to explore a method for characterization of the electromyogram frequency spectrum during a sustained exertion task, performed by the upper limb. Methods: Nine participants underwent an isometric localized muscle fatigue protocol on an isokinetic dynamometer until exhaustion, while monitored with surface electromyography (sEMG) of the shoulder’s external rotators. Firstly, three methods of signal energy analysis based on primer frequency contributors were compared to the energy of the entire spectrum. Secondly, the chosen method of analysis was used to characterize the signal energy at beginning (T1), in the middle (T2) and at the end (T3) of the fatigue protocol and compared to the torque output and the shift in the median frequencies during the trial. Results: There were statistically significant differences between T1 and T3 for signal energy (p < 0.007) and for central frequency of the interval (p = 0.003). Moreover, the isometric peak torque was also different between T1 and T3 (p < 0.001). Overall, there were no differences between the signal energy enclosed in the 40 primer frequency contributors and the analysis of the full spectrum energy; consequently, it was the method of choice. The reported fatigue and the decrease in the produced muscle torque was consistent with fatigue-induced alterations in the electromyogram frequency spectrum. In conclusion, the developed protocol has potential to be considered as an easy-to-use method for EMG-based analysis of isometric muscle exertion until fatigue. Thus, the novelty of the proposed method is to explore, in muscle fatigue, the use of only the main contributors in the frequency domain of the EMG spectrum, avoiding surplus information, that may not represent muscle functioning. However, further studies are needed to investigate the stability of the present findings in a more comprehensive sample.application/pdfpt_PTEMG signal processing for the study of localized muscle fatigue—pilot study to explore the applicability of a novel methodRodrigues, Sandra BeatrizFaria, Luís PalermoPersonalMonteiro, A.M.DSpacehttp://dspace.org/items/5b5d8601-e683-42d5-a1b5-c8e29a4e0a41DSpacehttp://dspace.org/items/5b5d8601-e683-42d5-a1b5-c8e29a4e0a41MonteiroAntónio M.Ciência IDhttps://www.ciencia-id.ptC41C-6CCD-A1F0ORCIDhttp://orcid.org0000-0003-4467-1722PersonalLima, JoséDSpacehttp://dspace.org/items/d88c2b2a-efc2-48ef-b1fd-1145475e0055DSpacehttp://dspace.org/items/d88c2b2a-efc2-48ef-b1fd-1145475e0055LimaJoséCiência IDhttps://www.ciencia-id.pt6016-C902-86A9ORCIDhttp://orcid.org0000-0001-7902-1207Researcher IDhttps://www.researcherid.comL-3370-2014Scopus Author IDhttps://www.scopus.com55851941311PersonalBarbosa, Tiago M.DSpacehttp://dspace.org/items/941a6f14-cfba-458a-a2e3-0cbd1846cd42DSpacehttp://dspace.org/items/941a6f14-cfba-458a-a2e3-0cbd1846cd42BarbosaTiago M.Ciência IDhttps://www.ciencia-id.pt8B11-BDC4-F6FFORCIDhttp://orcid.org0000-0001-7071-2116Scopus Author IDhttps://www.scopus.com10044856400Duarte, José AlbertoHostingInstitutionOrganizationalBiblioteca Digital do IPBe-mailmailto:dspace@ipb.ptdspace@ipb.ptDOIIsPartOf10.3390/ijerph1920132702022-12-06T10:27:41Z20222022-01-01T00:00:00ZHandlehttp://hdl.handle.net/10198/26150http://purl.org/coar/access_right/c_abf2open accessSurface electromyographysEMGFrequency spectrumFast Fourier transformationFatigueSignal processingIsokinetic dynamometerResearch Subject Categories::INTERDISCIPLINARY RESEARCH AREAS::Sports749034 bytesFundação para a Ciência e a TecnologiaResearch Centre in Digitalization and Intelligent Robotics6817 - DCRRNI IDCrossref Funder IDhttp://doi.org/10.13039/501100001871Fundação para a Ciência e a TecnologiaResearch Centre in Digitalization and Intelligent Robotics6817 - DCRRNI IDCrossref Funder IDhttp://doi.org/10.13039/501100001871literaturehttp://purl.org/coar/resource_type/c_6501journal article2022http://creativecommons.org/licenses/by/4.0/http://purl.org/coar/access_right/c_abf2application/pdffulltexthttps://bibliotecadigital.ipb.pt/bitstreams/e889495f-9625-4ac8-abbd-5008926578de/downloadInternational Journal of Environmental Research and Public Health19111
spellingShingle EMG signal processing for the study of localized muscle fatigue—pilot study to explore the applicability of a novel method
Rodrigues, Sandra Beatriz
Surface electromyography
sEMG
Frequency spectrum
Fast Fourier transformation
Fatigue
Signal processing
Isokinetic dynamometer
Research Subject Categories::INTERDISCIPLINARY RESEARCH AREAS::Sports
subject.fl_str_mv Surface electromyography
sEMG
Frequency spectrum
Fast Fourier transformation
Fatigue
Signal processing
Isokinetic dynamometer
Research Subject Categories::INTERDISCIPLINARY RESEARCH AREAS::Sports
title EMG signal processing for the study of localized muscle fatigue—pilot study to explore the applicability of a novel method
title_full EMG signal processing for the study of localized muscle fatigue—pilot study to explore the applicability of a novel method
title_fullStr EMG signal processing for the study of localized muscle fatigue—pilot study to explore the applicability of a novel method
title_full_unstemmed EMG signal processing for the study of localized muscle fatigue—pilot study to explore the applicability of a novel method
title_short EMG signal processing for the study of localized muscle fatigue—pilot study to explore the applicability of a novel method
title_sort EMG signal processing for the study of localized muscle fatigue—pilot study to explore the applicability of a novel method
topic Surface electromyography
sEMG
Frequency spectrum
Fast Fourier transformation
Fatigue
Signal processing
Isokinetic dynamometer
Research Subject Categories::INTERDISCIPLINARY RESEARCH AREAS::Sports
topic_facet Surface electromyography
sEMG
Frequency spectrum
Fast Fourier transformation
Fatigue
Signal processing
Isokinetic dynamometer
Research Subject Categories::INTERDISCIPLINARY RESEARCH AREAS::Sports
url http://hdl.handle.net/10198/26150
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