Please use this identifier to cite or link to this item: https://repositorio.usj.es/handle/123456789/462

Full metadata record
DC FieldValueLanguage
dc.contributor.authorCartón-Llorente, Antonio-
dc.contributor.authorGarcía-Pinillos, Felipe-
dc.contributor.authorRoyo-Borruel, Jorge-
dc.contributor.authorJaén-Carrillo, Diego-
dc.contributor.authorRoche-Seruendo, Luis Enrique-
dc.contributor.authorRubio Peirotén, Alberto-
dc.date.accessioned2021-02-11T12:25:58Z-
dc.date.available2021-02-11T12:25:58Z-
dc.date.issued2021-01-15-
dc.identifier.citationCartón-Llorente, A.; García-Pinillos, F.; Royo-Borruel, J.; Rubio-Peirotén, A.; Jaén-Carrillo, D.; Roche-Seruendo, L.E. Estimating Functional Threshold Power in Endurance Running from Shorter Time Trials Using a 6-Axis Inertial Measurement Sensor. Sensors 2021, 21, 582. https://doi.org/ 10.3390/s21020582es_ES
dc.identifier.issn1424-8220es_ES
dc.identifier.urihttps://repositorio.usj.es/handle/123456789/462-
dc.description.abstractWearable technology has allowed for the real-time assessment of mechanical work employed in several sporting activities. Through novel power metrics, Functional Threshold Power have shown a reliable indicator of training intensities. This study aims to determine the relationship between mean power output (MPO) values obtained during three submaximal running time trials (i.e., 10 min, 20 min, and 30 min) and the functional threshold power (FTP). Twenty-two recreationally trained male endurance runners completed four submaximal running time trials of 10, 20, 30, and 60 min, trying to cover the longest possible distance on a motorized treadmill. Absolute MPO (W), normalized MPO (W/kg) and standard deviation (SD) were calculated for each time trial with a power meter device attached to the shoelaces. All simplified FTP trials analyzed (i.e., FTP10, FTP20, and FTP30) showed a significant association with the calculated FTP (p < 0.001) for both MPO and normalized MPO, whereas stronger correlations were found with longer time trials. Individual correction factors (ICF% = FTP60/FTPn) of ~90% for FTP10, ~94% for FTP20, and ~96% for FTP30 were obtained. The present study procures important practical applications for coaches and athletes as it provides a more accurate estimation of FTP in endurance running through less fatiguing, reproducible tests.es_ES
dc.format.extent14 p.es_ES
dc.format.mimetypeapplication/pdfes_ES
dc.language.isoenges_ES
dc.publisherMPDIes_ES
dc.relation.requiresRequiere Adobe PDFes_ES
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rightsAtribución 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectaerobices_ES
dc.subjectassessmentes_ES
dc.subjectperformancees_ES
dc.subjectphysiologyes_ES
dc.subjecttechnologyes_ES
dc.subjecttraininges_ES
dc.subjectwearablees_ES
dc.titleEstimating Functional Threshold Power in Endurance Running from Shorter Time Trials Using a 6-Axis Inertial Measurement Sensores_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.subject.unescoTecnologíaes_ES
dc.subject.unescoFisiologíaes_ES
dc.subject.unescoDeportees_ES
dc.identifier.doi10.3390/s21020582es_ES
dc.rights.accessrightsinfo:eu-repo/semantics/openAccesses_ES
Appears in Collections:Artículos de revistas

Files in This Item:
File Description SizeFormat 
Estimating Functional Threshold Power.pdf972,88 kBAdobe PDFThumbnail
View/Open


This item is licensed under a Creative Commons License Creative Commons