Evaluation of the electromyography test for the analysis of the aerobic-anaerobic transition in elite cyclists during incremental exercise
(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 w...
| Autores: | , , , , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2019 |
| País: | España |
| Institución: | Universidad Pública de Navarra |
| Repositorio: | Academica-e. Repositorio Institucional de la Universidad Pública de Navarra |
| OAI Identifier: | oai:academica-e.unavarra.es:2454/35367 |
| Acceso en línea: | https://hdl.handle.net/2454/35367 |
| Access Level: | acceso abierto |
| Palabra clave: | Cycling Neuromuscular fatigue Surface electromyography Incremental cycling ergometer test |
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Evaluation of the electromyography test for the analysis of the aerobic-anaerobic transition in elite cyclists during incremental exerciseLatasa Zudaire, Iban AlexanderCórdova Martínez, AlfredoQuintana Ortí, GregorioLavilla Oiz, AnaNavallas Irujo, JavierRodríguez Falces, JavierCyclingNeuromuscular fatigueSurface electromyographyIncremental cycling ergometer test(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.This research was funded by the Spanish Ministerio de Economía y Competitividad (MINECO), under the TEC2014-58947-R project.MDPIIngeniería Eléctrica, Electrónica y de ComunicaciónIngeniaritza Elektrikoa, Elektronikoaren eta Telekomunikazio Ingeniaritzaren2019info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://hdl.handle.net/2454/35367reponame:Academica-e. Repositorio Institucional de la Universidad Pública de Navarrainstname:Universidad Pública de NavarraInglésinfo:eu-repo/grantAgreement/MINECO//TEC2014-58947-R© 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.https://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:academica-e.unavarra.es:2454/353672026-06-17T12:41:47Z |
| dc.title.none.fl_str_mv |
Evaluation of the electromyography test for the analysis of the aerobic-anaerobic transition in elite cyclists during incremental exercise |
| title |
Evaluation of the electromyography test for the analysis of the aerobic-anaerobic transition in elite cyclists during incremental exercise |
| spellingShingle |
Evaluation of the electromyography test for the analysis of the aerobic-anaerobic transition in elite cyclists during incremental exercise Latasa Zudaire, Iban Alexander Cycling Neuromuscular fatigue Surface electromyography Incremental cycling ergometer test |
| title_short |
Evaluation of the electromyography test for the analysis of the aerobic-anaerobic transition in elite cyclists during incremental exercise |
| title_full |
Evaluation of the electromyography test for the analysis of the aerobic-anaerobic transition in elite cyclists during incremental exercise |
| title_fullStr |
Evaluation of the electromyography test for the analysis of the aerobic-anaerobic transition in elite cyclists during incremental exercise |
| title_full_unstemmed |
Evaluation of the electromyography test for the analysis of the aerobic-anaerobic transition in elite cyclists during incremental exercise |
| title_sort |
Evaluation of the electromyography test for the analysis of the aerobic-anaerobic transition in elite cyclists during incremental exercise |
| dc.creator.none.fl_str_mv |
Latasa Zudaire, Iban Alexander Córdova Martínez, Alfredo Quintana Ortí, Gregorio Lavilla Oiz, Ana Navallas Irujo, Javier Rodríguez Falces, Javier |
| author |
Latasa Zudaire, Iban Alexander |
| author_facet |
Latasa Zudaire, Iban Alexander Córdova Martínez, Alfredo Quintana Ortí, Gregorio Lavilla Oiz, Ana Navallas Irujo, Javier Rodríguez Falces, Javier |
| author_role |
author |
| author2 |
Córdova Martínez, Alfredo Quintana Ortí, Gregorio Lavilla Oiz, Ana Navallas Irujo, Javier Rodríguez Falces, Javier |
| author2_role |
author author author author author |
| dc.contributor.none.fl_str_mv |
Ingeniería Eléctrica, Electrónica y de Comunicación Ingeniaritza Elektrikoa, Elektronikoaren eta Telekomunikazio Ingeniaritzaren |
| dc.subject.none.fl_str_mv |
Cycling Neuromuscular fatigue Surface electromyography Incremental cycling ergometer test |
| topic |
Cycling Neuromuscular fatigue Surface electromyography Incremental cycling ergometer test |
| description |
(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. |
| publishDate |
2019 |
| dc.date.none.fl_str_mv |
2019 |
| dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
| format |
article |
| status_str |
publishedVersion |
| dc.identifier.none.fl_str_mv |
https://hdl.handle.net/2454/35367 |
| url |
https://hdl.handle.net/2454/35367 |
| dc.language.none.fl_str_mv |
Inglés |
| language_invalid_str_mv |
Inglés |
| dc.relation.none.fl_str_mv |
info:eu-repo/grantAgreement/MINECO//TEC2014-58947-R |
| dc.rights.none.fl_str_mv |
https://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/openAccess |
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https://creativecommons.org/licenses/by/4.0/ |
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openAccess |
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application/pdf |
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MDPI |
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MDPI |
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reponame:Academica-e. Repositorio Institucional de la Universidad Pública de Navarra instname:Universidad Pública de Navarra |
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Universidad Pública de Navarra |
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Academica-e. Repositorio Institucional de la Universidad Pública de Navarra |
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Academica-e. Repositorio Institucional de la Universidad Pública de Navarra |
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