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dc.creatorLatasa Zudaire, Iban Alexanderes_ES
dc.creatorCórdova Martínez, Alfredoes_ES
dc.creatorQuintana Ortí, Gregorioes_ES
dc.creatorLavilla Oiz, Anaes_ES
dc.creatorNavallas Irujo, Javieres_ES
dc.creatorRodríguez Falces, Javieres_ES
dc.date.accessioned2019-11-14T09:30:57Z
dc.date.available2019-11-14T09:30:57Z
dc.date.issued2019
dc.identifier.issn2076-3417
dc.identifier.urihttps://hdl.handle.net/2454/35367
dc.description.abstract(1) Background: The aim of this study was to investigate the validity and reliability of surface electromyography (EMG) for automatic detection of the aerobic and anaerobic thresholds during an incremental continuous cycling test using 1 min exercise periods in elite cyclists. (2) Methods: Sixteen well-trained cyclists completed an incremental exercise test (25 W/1 min) to exhaustion. Surface bipolar EMG signals were recorded from the vastus lateralis, vastus medialis, biceps femoris, and gluteus maximus, and the root mean square (RMS) were assessed. The multi-segment linear regression method was used to calculate the first and second EMG thresholds (EMG(T1) and EMG(T2)). During the test, gas exchange data were collected to determine the first and second ventilatory thresholds (VT1 and VT2). (3) Results: Two breakpoints (thresholds) were identified in the RMS EMG vs. time curve for all muscles in 75% of participants. The two breakpoints, EMG(T1) and EMG(T2) , were detected at around 70%-80% and 90%-95% of VO2MAX, respectively. No significant differences were found between the means of VT(1 )and EMGT(1) for the vastii and biceps femoris muscles (p > 0.05). There were no significant differences between means of EMG(T2) and VT2 (p > 0.05). (4) Conclusions: It is concluded that the multi-segment linear regression algorithm is a valid non-invasive method for analyzing the aerobic-anaerobic transition during incremental tests with 1 min stage durations.en
dc.description.sponsorshipThis research was funded by the Spanish Ministerio de Economía y Competitividad (MINECO), under the TEC2014-58947-R project.en
dc.format.extent13 p.
dc.format.mimetypeapplication/pdfen
dc.language.isoengen
dc.publisherMDPIen
dc.relation.ispartofApplied Sciences, 2019, 9, 589en
dc.rights© 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.en
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectCyclingen
dc.subjectNeuromuscular fatigueen
dc.subjectSurface electromyographyen
dc.subjectIncremental cycling ergometer testen
dc.titleEvaluation of the electromyography test for the analysis of the aerobic-anaerobic transition in elite cyclists during incremental exerciseen
dc.typeinfo:eu-repo/semantics/articleen
dc.typeArtículo / Artikuluaes
dc.contributor.departmentUniversidad Pública de Navarra. Departamento de Ingeniería Eléctrica, Electrónica y de Comunicaciónes_ES
dc.contributor.departmentNafarroako Unibertsitate Publikoa. Ingeniaritza Elektriko, Elektroniko eta Telekomunikazio Sailaeu
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessen
dc.rights.accessRightsAcceso abierto / Sarbide irekiaes
dc.identifier.doi10.3390/app9030589
dc.relation.projectIDinfo:eu-repo/grantAgreement/ES/1PE/TEC2014-58947-Ren
dc.relation.publisherversionhttps://doi.org/10.3390/app9030589
dc.type.versioninfo:eu-repo/semantics/publishedVersionen
dc.type.versionVersión publicada / Argitaratu den bertsioaes


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© 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access
article distributed under the terms and conditions of the Creative Commons Attribution
(CC BY) license.
Except where otherwise noted, this item's license is described as © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.