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dc.contributor.authorLatasa, Iban
dc.contributor.authorCórdova Martínez, Alfredo 
dc.contributor.authorQuintana Ortí, Gregorio
dc.contributor.authorLavilla Oiz, Ana
dc.contributor.authorNavallas, Javier
dc.contributor.authorRodriguez Falces, Javier
dc.date.accessioned2022-10-24T09:28:20Z
dc.date.available2022-10-24T09:28:20Z
dc.date.issued2019
dc.identifier.citationApplied Sciences, 2019, vol. 9, n. 3, 589es
dc.identifier.issn2076-3417es
dc.identifier.urihttps://uvadoc.uva.es/handle/10324/56464
dc.descriptionProducción Científicaes
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 (EMGT1 and EMGT2). 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, EMGT1 and EMGT2, were detected at around 70%–80% and 90%–95% of VO2MAX, respectively. No significant differences were found between the means of VT1 and EMGT1 for the vastii and biceps femoris muscles (p > 0.05). There were no significant differences between means of EMGT2 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.es
dc.format.mimetypeapplication/pdfes
dc.language.isoenges
dc.publisherMDPIes
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subject.classificationElectromyographyes
dc.subject.classificationElectromiografíaes
dc.subject.classificationNeuromuscular fatiguees
dc.subject.classificationFatiga neuromusculares
dc.titleEvaluation of the electromyography test for the analysis of the aerobic-anaerobic transition in elite cyclists during incremental exercisees
dc.typeinfo:eu-repo/semantics/articlees
dc.rights.holder© 2019 The Authorses
dc.identifier.doi10.3390/app9030589es
dc.relation.publisherversionhttps://www.mdpi.com/2076-3417/9/3/589es
dc.peerreviewedSIes
dc.description.projectMinisterio de Economía, Industria y Competitividad (project TEC2014-58947-R)es
dc.rightsAtribución 4.0 Internacional*
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersiones


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