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    Por favor, use este identificador para citar o enlazar este ítem:https://uvadoc.uva.es/handle/10324/56464

    Título
    Evaluation of the electromyography test for the analysis of the aerobic-anaerobic transition in elite cyclists during incremental exercise
    Autor
    Latasa, Iban
    Córdova Martínez, AlfredoAutoridad UVA Orcid
    Quintana Ortí, Gregorio
    Lavilla Oiz, Ana
    Navallas, Javier
    Rodriguez Falces, Javier
    Año del Documento
    2019
    Editorial
    MDPI
    Descripción
    Producción Científica
    Documento Fuente
    Applied Sciences, 2019, vol. 9, n. 3, 589
    Resumo
    (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.
    Palabras Clave
    Electromyography
    Electromiografía
    Neuromuscular fatigue
    Fatiga neuromuscular
    ISSN
    2076-3417
    Revisión por pares
    SI
    DOI
    10.3390/app9030589
    Patrocinador
    Ministerio de Economía, Industria y Competitividad (project TEC2014-58947-R)
    Version del Editor
    https://www.mdpi.com/2076-3417/9/3/589
    Propietario de los Derechos
    © 2019 The Authors
    Idioma
    eng
    URI
    https://uvadoc.uva.es/handle/10324/56464
    Tipo de versión
    info:eu-repo/semantics/publishedVersion
    Derechos
    openAccess
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    • DEP06 - Artículos de revista [352]
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    Universidad de Valladolid

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