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Video-Based System for Automatic Measurement of Barbell Velocity in Back Squat
Velocity-based training is a contemporary method used by sports coaches to prescribe the optimal loading based on the velocity of movement of a load lifted. The most employed and accurate instruments to monitor velocity are linear position transducers. Alternatively, smartphone apps compute mean vel...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7866505/ https://www.ncbi.nlm.nih.gov/pubmed/33573170 http://dx.doi.org/10.3390/s21030925 |
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author | Pueo, Basilio Lopez, Jose J. Mossi, Jose M. Colomer, Adrian Jimenez-Olmedo, Jose M. |
author_facet | Pueo, Basilio Lopez, Jose J. Mossi, Jose M. Colomer, Adrian Jimenez-Olmedo, Jose M. |
author_sort | Pueo, Basilio |
collection | PubMed |
description | Velocity-based training is a contemporary method used by sports coaches to prescribe the optimal loading based on the velocity of movement of a load lifted. The most employed and accurate instruments to monitor velocity are linear position transducers. Alternatively, smartphone apps compute mean velocity after each execution by manual on-screen digitizing, introducing human error. In this paper, a video-based instrument delivering unattended, real-time measures of barbell velocity with a smartphone high-speed camera has been developed. A custom image-processing algorithm allows for the detection of reference points of a multipower machine to autocalibrate and automatically track barbell markers to give real-time kinematic-derived parameters. Validity and reliability were studied by comparing the simultaneous measurement of 160 repetitions of back squat lifts executed by 20 athletes with the proposed instrument and a validated linear position transducer, used as a criterion. The video system produced practically identical range, velocity, force, and power outcomes to the criterion with low and proportional systematic bias and random errors. Our results suggest that the developed video system is a valid, reliable, and trustworthy instrument for measuring velocity and derived variables accurately with practical implications for use by coaches and practitioners. |
format | Online Article Text |
id | pubmed-7866505 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-78665052021-02-07 Video-Based System for Automatic Measurement of Barbell Velocity in Back Squat Pueo, Basilio Lopez, Jose J. Mossi, Jose M. Colomer, Adrian Jimenez-Olmedo, Jose M. Sensors (Basel) Article Velocity-based training is a contemporary method used by sports coaches to prescribe the optimal loading based on the velocity of movement of a load lifted. The most employed and accurate instruments to monitor velocity are linear position transducers. Alternatively, smartphone apps compute mean velocity after each execution by manual on-screen digitizing, introducing human error. In this paper, a video-based instrument delivering unattended, real-time measures of barbell velocity with a smartphone high-speed camera has been developed. A custom image-processing algorithm allows for the detection of reference points of a multipower machine to autocalibrate and automatically track barbell markers to give real-time kinematic-derived parameters. Validity and reliability were studied by comparing the simultaneous measurement of 160 repetitions of back squat lifts executed by 20 athletes with the proposed instrument and a validated linear position transducer, used as a criterion. The video system produced practically identical range, velocity, force, and power outcomes to the criterion with low and proportional systematic bias and random errors. Our results suggest that the developed video system is a valid, reliable, and trustworthy instrument for measuring velocity and derived variables accurately with practical implications for use by coaches and practitioners. MDPI 2021-01-30 /pmc/articles/PMC7866505/ /pubmed/33573170 http://dx.doi.org/10.3390/s21030925 Text en © 2021 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Pueo, Basilio Lopez, Jose J. Mossi, Jose M. Colomer, Adrian Jimenez-Olmedo, Jose M. Video-Based System for Automatic Measurement of Barbell Velocity in Back Squat |
title | Video-Based System for Automatic Measurement of Barbell Velocity in Back Squat |
title_full | Video-Based System for Automatic Measurement of Barbell Velocity in Back Squat |
title_fullStr | Video-Based System for Automatic Measurement of Barbell Velocity in Back Squat |
title_full_unstemmed | Video-Based System for Automatic Measurement of Barbell Velocity in Back Squat |
title_short | Video-Based System for Automatic Measurement of Barbell Velocity in Back Squat |
title_sort | video-based system for automatic measurement of barbell velocity in back squat |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7866505/ https://www.ncbi.nlm.nih.gov/pubmed/33573170 http://dx.doi.org/10.3390/s21030925 |
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