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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...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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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. |
format | Online Article Text |
id | pubmed-9698850 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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