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

2022Journal article Open access
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dc.contributor.authorRodrigues, Sandra Beatriz
dc.contributor.authorFaria, Luís Palermo
dc.contributor.authorMonteiro, A.M.
dc.contributor.authorLima, José
dc.contributor.authorBarbosa, Tiago M.
dc.contributor.authorDuarte, José Alberto
dc.date.accessioned2022-12-06T10:27:41Z
dc.date.available2022-12-06T10:27:41Z
dc.date.issued2022
dc.description.abstractThis 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.pt_PT
dc.description.sponsorshipThe authors are grateful to the Foundation for Science and Technology (FCT, Portugal) for financial support through national funds FCT/MCTES (PIDDAC) to CeDRI (UIDB/05757/2020 and UIDP/05757/2020) and SusTEC (LA/P/0007/2021).pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationRodrigues, Sandra B.; Faria, Luís Palermo; Monteiro, A.M.; Lima, José Luís; Barbosa, Tiago M.; Duarte, José Alberto (2022). EMG signal processing for the study of localized muscle fatigue—pilot study to explore the applicability of a novel method. International Journal of Environmental Research and Public Health. ISSN 1660-4601. 19:20, p. 1-11pt_PT
dc.identifier.doi10.3390/ijerph192013270pt_PT
dc.identifier.eissn1660-4601
dc.identifier.urihttp://hdl.handle.net/10198/26150
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherMDPIpt_PT
dc.relationLA/P/0007/2021pt_PT
dc.relationResearch Centre in Digitalization and Intelligent Robotics
dc.relationResearch Centre in Digitalization and Intelligent Robotics
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectSurface electromyographypt_PT
dc.subjectsEMGpt_PT
dc.subjectFrequency spectrumpt_PT
dc.subjectFast Fourier transformationpt_PT
dc.subjectFatiguept_PT
dc.subjectSignal processingpt_PT
dc.subjectIsokinetic dynamometerpt_PT
dc.subjectResearch Subject Categories::INTERDISCIPLINARY RESEARCH AREAS::Sportspt_PT
dc.titleEMG signal processing for the study of localized muscle fatigue—pilot study to explore the applicability of a novel methodpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleResearch Centre in Digitalization and Intelligent Robotics
oaire.awardTitleResearch Centre in Digitalization and Intelligent Robotics
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F05757%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F05757%2F2020/PT
oaire.citation.endPage11pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.titleInternational Journal of Environmental Research and Public Healthpt_PT
oaire.citation.volume19pt_PT
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
person.familyNameMonteiro
person.familyNameLima
person.familyNameBarbosa
person.givenNameAntónio M.
person.givenNameJosé
person.givenNameTiago M.
person.identifierR-000-8GD
person.identifier.ciencia-idC41C-6CCD-A1F0
person.identifier.ciencia-id6016-C902-86A9
person.identifier.ciencia-id8B11-BDC4-F6FF
person.identifier.orcid0000-0003-4467-1722
person.identifier.orcid0000-0001-7902-1207
person.identifier.orcid0000-0001-7071-2116
person.identifier.ridL-3370-2014
person.identifier.scopus-author-id55851941311
person.identifier.scopus-author-id10044856400
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
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relation.isAuthorOfPublicationd88c2b2a-efc2-48ef-b1fd-1145475e0055
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