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Wheelchair Rugby Sprint Force-Velocity Modeling Using Inertial Measurement Units and Sport Specific Parameters: A Proof of Concept

Background: Para-sports such as wheelchair rugby have seen increased use of inertial measurement units (IMU) to measure wheelchair mobility. The accessibility and accuracy of IMUs have enabled the quantification of many wheelchair metrics and the ability to further advance analyses such as force-vel...

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Autores principales: Klimstra, Marc, Geneau, Daniel, Lacroix, Melissa, Jensen, Matt, Greenshields, Joel, Cormier, Patrick, Brodie, Ryan, Commandeur, Drew, Tsai, Ming-Chang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10490617/
https://www.ncbi.nlm.nih.gov/pubmed/37687947
http://dx.doi.org/10.3390/s23177489
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author Klimstra, Marc
Geneau, Daniel
Lacroix, Melissa
Jensen, Matt
Greenshields, Joel
Cormier, Patrick
Brodie, Ryan
Commandeur, Drew
Tsai, Ming-Chang
author_facet Klimstra, Marc
Geneau, Daniel
Lacroix, Melissa
Jensen, Matt
Greenshields, Joel
Cormier, Patrick
Brodie, Ryan
Commandeur, Drew
Tsai, Ming-Chang
author_sort Klimstra, Marc
collection PubMed
description Background: Para-sports such as wheelchair rugby have seen increased use of inertial measurement units (IMU) to measure wheelchair mobility. The accessibility and accuracy of IMUs have enabled the quantification of many wheelchair metrics and the ability to further advance analyses such as force-velocity (FV) profiling. However, the FV modeling approach has not been refined to include wheelchair specific parameters. Purpose: The purpose of this study was to compare wheelchair rugby sprint FV profiles, developed from a wheel-mounted IMU, using current mono-exponential modeling techniques against a dynamic resistive force model with wheelchair specific resistance coefficients. Methods: Eighteen athletes from a national wheelchair rugby program performed 2 × 45 m all-out sprints on an indoor hardwood court surface. Results: Velocity modelling displayed high agreeability, with an average RMSE of 0.235 ± 0.07 m/s(−1) and r(2) of 0.946 ± 0.02. Further, the wheelchair specific resistive force model resulted in greater force and power outcomes, better aligning with previously collected measures. Conclusions: The present study highlights the proof of concept that a wheel-mounted IMU combined with wheelchair-specific FV modelling provided estimates of force and power that better account for the resistive forces encountered by wheelchair rugby athletes.
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spelling pubmed-104906172023-09-09 Wheelchair Rugby Sprint Force-Velocity Modeling Using Inertial Measurement Units and Sport Specific Parameters: A Proof of Concept Klimstra, Marc Geneau, Daniel Lacroix, Melissa Jensen, Matt Greenshields, Joel Cormier, Patrick Brodie, Ryan Commandeur, Drew Tsai, Ming-Chang Sensors (Basel) Article Background: Para-sports such as wheelchair rugby have seen increased use of inertial measurement units (IMU) to measure wheelchair mobility. The accessibility and accuracy of IMUs have enabled the quantification of many wheelchair metrics and the ability to further advance analyses such as force-velocity (FV) profiling. However, the FV modeling approach has not been refined to include wheelchair specific parameters. Purpose: The purpose of this study was to compare wheelchair rugby sprint FV profiles, developed from a wheel-mounted IMU, using current mono-exponential modeling techniques against a dynamic resistive force model with wheelchair specific resistance coefficients. Methods: Eighteen athletes from a national wheelchair rugby program performed 2 × 45 m all-out sprints on an indoor hardwood court surface. Results: Velocity modelling displayed high agreeability, with an average RMSE of 0.235 ± 0.07 m/s(−1) and r(2) of 0.946 ± 0.02. Further, the wheelchair specific resistive force model resulted in greater force and power outcomes, better aligning with previously collected measures. Conclusions: The present study highlights the proof of concept that a wheel-mounted IMU combined with wheelchair-specific FV modelling provided estimates of force and power that better account for the resistive forces encountered by wheelchair rugby athletes. MDPI 2023-08-29 /pmc/articles/PMC10490617/ /pubmed/37687947 http://dx.doi.org/10.3390/s23177489 Text en © 2023 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
Klimstra, Marc
Geneau, Daniel
Lacroix, Melissa
Jensen, Matt
Greenshields, Joel
Cormier, Patrick
Brodie, Ryan
Commandeur, Drew
Tsai, Ming-Chang
Wheelchair Rugby Sprint Force-Velocity Modeling Using Inertial Measurement Units and Sport Specific Parameters: A Proof of Concept
title Wheelchair Rugby Sprint Force-Velocity Modeling Using Inertial Measurement Units and Sport Specific Parameters: A Proof of Concept
title_full Wheelchair Rugby Sprint Force-Velocity Modeling Using Inertial Measurement Units and Sport Specific Parameters: A Proof of Concept
title_fullStr Wheelchair Rugby Sprint Force-Velocity Modeling Using Inertial Measurement Units and Sport Specific Parameters: A Proof of Concept
title_full_unstemmed Wheelchair Rugby Sprint Force-Velocity Modeling Using Inertial Measurement Units and Sport Specific Parameters: A Proof of Concept
title_short Wheelchair Rugby Sprint Force-Velocity Modeling Using Inertial Measurement Units and Sport Specific Parameters: A Proof of Concept
title_sort wheelchair rugby sprint force-velocity modeling using inertial measurement units and sport specific parameters: a proof of concept
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10490617/
https://www.ncbi.nlm.nih.gov/pubmed/37687947
http://dx.doi.org/10.3390/s23177489
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