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Sprint Acceleration Mechanical Outputs Derived from Position– or Velocity–Time Data: A Multi-System Comparison Study

To directly compare five commonly used on-field systems (motorized linear encoder, laser, radar, global positioning system, and timing gates) during sprint acceleration to (i) measure velocity–time data, (ii) compute the main associated force–velocity variables, and (iii) assess their respective int...

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Autores principales: Fornasier-Santos, Charly, Arnould, Axelle, Jusseaume, Jérémy, Millot, Benjamin, Guilhem, Gaël, Couturier, Antoine, Samozino, Pierre, Slawinski, Jean, Morin, Jean-Benoît
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9698850/
https://www.ncbi.nlm.nih.gov/pubmed/36433206
http://dx.doi.org/10.3390/s22228610
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author Fornasier-Santos, Charly
Arnould, Axelle
Jusseaume, Jérémy
Millot, Benjamin
Guilhem, Gaël
Couturier, Antoine
Samozino, Pierre
Slawinski, Jean
Morin, Jean-Benoît
author_facet Fornasier-Santos, Charly
Arnould, Axelle
Jusseaume, Jérémy
Millot, Benjamin
Guilhem, Gaël
Couturier, Antoine
Samozino, Pierre
Slawinski, Jean
Morin, Jean-Benoît
author_sort Fornasier-Santos, Charly
collection PubMed
description To directly compare five commonly used on-field systems (motorized linear encoder, laser, radar, global positioning system, and timing gates) during sprint acceleration to (i) measure velocity–time data, (ii) compute the main associated force–velocity variables, and (iii) assess their respective inter-trial reliability. Eighteen participants performed three 40 m sprints, during which five systems were used to simultaneously and separately record the body center of the mass horizontal position or velocity over time. Horizontal force–velocity mechanical outputs for the two best trials were computed following an inverse dynamic model and based on an exponential fitting of the position- or velocity-time data. Between the five systems, the maximal running velocity was close (7.99 to 8.04 m.s(−1)), while the time constant showed larger differences (1.18 to 1.29 s). Concurrent validity results overall showed a relative systematic error of 0.86 to 2.28% for maximum and theoretically maximal velocity variables and 4.78 to 12.9% for early acceleration variables. The inter-trial reliability showed low coefficients of variation (all <5.74%), and was very close between all of the systems. All of the systems tested here can be considered relevant to measure the maximal velocity and compute the force–velocity mechanical outputs. Practitioners are advised to interpret the data obtained with either of these systems in light of these results.
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spelling pubmed-96988502022-11-26 Sprint Acceleration Mechanical Outputs Derived from Position– or Velocity–Time Data: A Multi-System Comparison Study Fornasier-Santos, Charly Arnould, Axelle Jusseaume, Jérémy Millot, Benjamin Guilhem, Gaël Couturier, Antoine Samozino, Pierre Slawinski, Jean Morin, Jean-Benoît Sensors (Basel) Article To directly compare five commonly used on-field systems (motorized linear encoder, laser, radar, global positioning system, and timing gates) during sprint acceleration to (i) measure velocity–time data, (ii) compute the main associated force–velocity variables, and (iii) assess their respective inter-trial reliability. Eighteen participants performed three 40 m sprints, during which five systems were used to simultaneously and separately record the body center of the mass horizontal position or velocity over time. Horizontal force–velocity mechanical outputs for the two best trials were computed following an inverse dynamic model and based on an exponential fitting of the position- or velocity-time data. Between the five systems, the maximal running velocity was close (7.99 to 8.04 m.s(−1)), while the time constant showed larger differences (1.18 to 1.29 s). Concurrent validity results overall showed a relative systematic error of 0.86 to 2.28% for maximum and theoretically maximal velocity variables and 4.78 to 12.9% for early acceleration variables. The inter-trial reliability showed low coefficients of variation (all <5.74%), and was very close between all of the systems. All of the systems tested here can be considered relevant to measure the maximal velocity and compute the force–velocity mechanical outputs. Practitioners are advised to interpret the data obtained with either of these systems in light of these results. MDPI 2022-11-08 /pmc/articles/PMC9698850/ /pubmed/36433206 http://dx.doi.org/10.3390/s22228610 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/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/).
spellingShingle Article
Fornasier-Santos, Charly
Arnould, Axelle
Jusseaume, Jérémy
Millot, Benjamin
Guilhem, Gaël
Couturier, Antoine
Samozino, Pierre
Slawinski, Jean
Morin, Jean-Benoît
Sprint Acceleration Mechanical Outputs Derived from Position– or Velocity–Time Data: A Multi-System Comparison Study
title Sprint Acceleration Mechanical Outputs Derived from Position– or Velocity–Time Data: A Multi-System Comparison Study
title_full Sprint Acceleration Mechanical Outputs Derived from Position– or Velocity–Time Data: A Multi-System Comparison Study
title_fullStr Sprint Acceleration Mechanical Outputs Derived from Position– or Velocity–Time Data: A Multi-System Comparison Study
title_full_unstemmed Sprint Acceleration Mechanical Outputs Derived from Position– or Velocity–Time Data: A Multi-System Comparison Study
title_short Sprint Acceleration Mechanical Outputs Derived from Position– or Velocity–Time Data: A Multi-System Comparison Study
title_sort sprint acceleration mechanical outputs derived from position– or velocity–time data: a multi-system comparison study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9698850/
https://www.ncbi.nlm.nih.gov/pubmed/36433206
http://dx.doi.org/10.3390/s22228610
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