A time to exhaustion model during prolonged running based on wearable accelerometers

Defining relationships between running mechanisms and fatigue can be a major asset for optimising training. This article proposes a biomechanical model of time to exhaustion according to indicators derived from accelerometry data collected from the body. Ten volunteers were recruited for this study....

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Autores:
Provot, Thomas
Munera, Marcela
Chiementin, Xavier
Bolaers, Fabrice
Tipo de recurso:
Article of investigation
Fecha de publicación:
2019
Institución:
Escuela Colombiana de Ingeniería Julio Garavito
Repositorio:
Repositorio Institucional ECI
Idioma:
eng
OAI Identifier:
oai:repositorio.escuelaing.edu.co:001/1499
Acceso en línea:
https://repositorio.escuelaing.edu.co/handle/001/1499
https://doi.org/10.1080/14763141.2018.1549682
Palabra clave:
Biomecánica
Modelo de fatiga deportiva
Stepwise regression
Biomechanical
Model sport fatigue
Regresión escalonada
Biomecánica
Modelo de fatiga deportiva
Rights
closedAccess
License
http://purl.org/coar/access_right/c_14cb
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dc.title.spa.fl_str_mv A time to exhaustion model during prolonged running based on wearable accelerometers
title A time to exhaustion model during prolonged running based on wearable accelerometers
spellingShingle A time to exhaustion model during prolonged running based on wearable accelerometers
Biomecánica
Modelo de fatiga deportiva
Stepwise regression
Biomechanical
Model sport fatigue
Regresión escalonada
Biomecánica
Modelo de fatiga deportiva
title_short A time to exhaustion model during prolonged running based on wearable accelerometers
title_full A time to exhaustion model during prolonged running based on wearable accelerometers
title_fullStr A time to exhaustion model during prolonged running based on wearable accelerometers
title_full_unstemmed A time to exhaustion model during prolonged running based on wearable accelerometers
title_sort A time to exhaustion model during prolonged running based on wearable accelerometers
dc.creator.fl_str_mv Provot, Thomas
Munera, Marcela
Chiementin, Xavier
Bolaers, Fabrice
dc.contributor.author.none.fl_str_mv Provot, Thomas
Munera, Marcela
Chiementin, Xavier
Bolaers, Fabrice
dc.contributor.researchgroup.spa.fl_str_mv GiBiome
dc.subject.armarc.none.fl_str_mv Biomecánica
Modelo de fatiga deportiva
topic Biomecánica
Modelo de fatiga deportiva
Stepwise regression
Biomechanical
Model sport fatigue
Regresión escalonada
Biomecánica
Modelo de fatiga deportiva
dc.subject.proposal.spa.fl_str_mv Stepwise regression
Biomechanical
Model sport fatigue
Regresión escalonada
Biomecánica
Modelo de fatiga deportiva
description Defining relationships between running mechanisms and fatigue can be a major asset for optimising training. This article proposes a biomechanical model of time to exhaustion according to indicators derived from accelerometry data collected from the body. Ten volunteers were recruited for this study. The participants were equipped with 3 accelerometers: on the right foot, at the tibia and at the L4-L5 lumbar spine. A running test was performed on a treadmill at 13.5 km/h until exhaustion. Thirty-one variables were deployed during the test. Multiple linear regressions were calculated to explain the time to exhaustion from the indicators calculated on the lumbar, tibia and foot individually and simultaneously. Time to exhaustion was predicted for simultaneous measurement points with r2=0.792 and 21 indicators; for the lumbar with r2=0.568 and 11 indicators; for the tibia with r2=558 and 11 indicators; and for the foot with r2=0.626 and 12 indicators. This study allows the accurate modelling of the time to exhaustion during a running-based test using indicators from accelerometer measurements. The individual models highlight that the location of the measurement point is important and that each location provides different information. Future studies should focus on homogeneous populations to improve predictions and errors.
publishDate 2019
dc.date.issued.none.fl_str_mv 2019
dc.date.accessioned.none.fl_str_mv 2021-05-27T00:06:09Z
2021-10-01T17:16:50Z
dc.date.available.none.fl_str_mv 2021-05-26
2021-10-01T17:16:50Z
dc.type.spa.fl_str_mv Artículo de revista
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dc.identifier.doi.none.fl_str_mv 10.1080/14763141.2018.1549682
dc.identifier.url.none.fl_str_mv https://doi.org/10.1080/14763141.2018.1549682
identifier_str_mv 1476-3141
10.1080/14763141.2018.1549682
url https://repositorio.escuelaing.edu.co/handle/001/1499
https://doi.org/10.1080/14763141.2018.1549682
dc.language.iso.spa.fl_str_mv eng
language eng
dc.relation.citationedition.spa.fl_str_mv Sports Biomechanics : Volume 20, 2021 - Issue 3
dc.relation.citationendpage.spa.fl_str_mv 14
dc.relation.citationstartpage.spa.fl_str_mv 1
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dc.relation.ispartofjournal.spa.fl_str_mv Sports Biomechanics
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dc.publisher.spa.fl_str_mv Taylor and Francis Ltd.
dc.publisher.place.spa.fl_str_mv Reino Unido
dc.source.spa.fl_str_mv https://www.tandfonline.com/doi/abs/10.1080/14763141.2018.1549682?journalCode=rspb20
institution Escuela Colombiana de Ingeniería Julio Garavito
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spelling Provot, Thomasa84bc2cb9b879ed1ab78e3295dbcee15600Munera, Marcelaad6bfbf95a34697f0011b08cab1ec1cd600Chiementin, Xavier5381418aa944cc4518e7bd78724f965c600Bolaers, Fabricea9bea77498f5c6859824540a0d92f73d600GiBiome2021-05-27T00:06:09Z2021-10-01T17:16:50Z2021-05-262021-10-01T17:16:50Z20191476-3141https://repositorio.escuelaing.edu.co/handle/001/149910.1080/14763141.2018.1549682https://doi.org/10.1080/14763141.2018.1549682Defining relationships between running mechanisms and fatigue can be a major asset for optimising training. This article proposes a biomechanical model of time to exhaustion according to indicators derived from accelerometry data collected from the body. Ten volunteers were recruited for this study. The participants were equipped with 3 accelerometers: on the right foot, at the tibia and at the L4-L5 lumbar spine. A running test was performed on a treadmill at 13.5 km/h until exhaustion. Thirty-one variables were deployed during the test. Multiple linear regressions were calculated to explain the time to exhaustion from the indicators calculated on the lumbar, tibia and foot individually and simultaneously. Time to exhaustion was predicted for simultaneous measurement points with r2=0.792 and 21 indicators; for the lumbar with r2=0.568 and 11 indicators; for the tibia with r2=558 and 11 indicators; and for the foot with r2=0.626 and 12 indicators. This study allows the accurate modelling of the time to exhaustion during a running-based test using indicators from accelerometer measurements. The individual models highlight that the location of the measurement point is important and that each location provides different information. Future studies should focus on homogeneous populations to improve predictions and errors.Definir las relaciones entre los mecanismos de la carrera y la fatiga puede ser una baza importante para optimizar el entrenamiento. Este artículo propone un modelo biomecánico del tiempo hasta el agotamiento según los indicadores derivados de los datos de acelerometría recogidos del cuerpo. Se reclutaron diez voluntarios para este estudio. Los participantes estaban equipados con 3 acelerómetros: en el pie derecho, en la tibia y en la columna lumbar L4-L5. Se realizó una prueba de carrera en un tapiz rodante a 13,5 km/h hasta el agotamiento. Se desplegaron 31 variables durante la prueba. Se calcularon regresiones lineales múltiples para explicar el tiempo hasta el agotamiento a partir de los indicadores calculados en la zona lumbar, la tibia y el pie de forma individual y simultánea. El tiempo hasta el agotamiento se predijo para los puntos de medición simultáneos con r2=0,792 y 21 indicadores; para la zona lumbar con r2=0,568 y 11 indicadores; para la tibia con r2=558 y 11 indicadores; y para el pie con r2=0,626 y 12 indicadores. Este estudio permite modelar con precisión el tiempo hasta el agotamiento durante una prueba basada en la carrera utilizando indicadores procedentes de las mediciones del acelerómetro. Los modelos individuales ponen de manifiesto que la ubicación del punto de medición es importante y que cada ubicación proporciona información diferente. Los estudios futuros deberían centrarse en poblaciones homogéneas para mejorar las predicciones y los errores.application/pdfengTaylor and Francis Ltd.Reino Unidohttps://www.tandfonline.com/doi/abs/10.1080/14763141.2018.1549682?journalCode=rspb20A time to exhaustion model during prolonged running based on wearable accelerometersArtículo de revistainfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_2df8fbb1Textinfo:eu-repo/semantics/articlehttp://purl.org/redcol/resource_type/ARThttp://purl.org/coar/version/c_970fb48d4fbd8a85Sports Biomechanics : Volume 20, 2021 - Issue 3141N/ASports Biomechanicsinfo:eu-repo/semantics/closedAccesshttp://purl.org/coar/access_right/c_14cbBiomecánicaModelo de fatiga deportivaStepwise regressionBiomechanicalModel sport fatigueRegresión escalonadaBiomecánicaModelo de fatiga deportivaORIGINALA time to exhaustion model during prolonged running based on wearable accelerometers.pdfA time to exhaustion model during prolonged running based 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