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Criterion Validity of an Automated Method of Detecting Live Play Periods in Basketball
This study aimed to develop an automated method to detect live play periods from accelerometry-derived relative exercise intensity in basketball, and to assess the criterion validity of this method. Relative exercise intensity (% oxygen uptake reserve) was quantified for two men's semi-professi...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8503514/ https://www.ncbi.nlm.nih.gov/pubmed/34647018 http://dx.doi.org/10.3389/fspor.2021.716014 |
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author | Palmer, Jodie Bini, Rodrigo Wundersitz, Daniel Kingsley, Michael |
author_facet | Palmer, Jodie Bini, Rodrigo Wundersitz, Daniel Kingsley, Michael |
author_sort | Palmer, Jodie |
collection | PubMed |
description | This study aimed to develop an automated method to detect live play periods from accelerometry-derived relative exercise intensity in basketball, and to assess the criterion validity of this method. Relative exercise intensity (% oxygen uptake reserve) was quantified for two men's semi-professional basketball matches. Live play period durations were automatically determined using a moving average sample window and relative exercise intensity threshold, and manually determined using annotation of video footage. The sample window duration and intensity threshold were optimised to determine the input parameters for the automated method that would result in the most similarity to the manual method. These input parameters were used to compare the automated and manual active play period durations in another men's semi-professional match and a women's professional match to assess the criterion validity of the automated method. The optimal input parameters were a 9-s sample window and relative exercise intensity threshold of 31% oxygen uptake reserve. The automated method showed good relative (ρ = 0.95–0.96 and ICC = 0.96–0.98, p < 0.01) and absolute (median bias = 0 s) agreement with the manual method. These findings support the use of an automated method using accelerometry-derived relative exercise intensity and a moving average sample window to detect live play periods in basketball. |
format | Online Article Text |
id | pubmed-8503514 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-85035142021-10-12 Criterion Validity of an Automated Method of Detecting Live Play Periods in Basketball Palmer, Jodie Bini, Rodrigo Wundersitz, Daniel Kingsley, Michael Front Sports Act Living Sports and Active Living This study aimed to develop an automated method to detect live play periods from accelerometry-derived relative exercise intensity in basketball, and to assess the criterion validity of this method. Relative exercise intensity (% oxygen uptake reserve) was quantified for two men's semi-professional basketball matches. Live play period durations were automatically determined using a moving average sample window and relative exercise intensity threshold, and manually determined using annotation of video footage. The sample window duration and intensity threshold were optimised to determine the input parameters for the automated method that would result in the most similarity to the manual method. These input parameters were used to compare the automated and manual active play period durations in another men's semi-professional match and a women's professional match to assess the criterion validity of the automated method. The optimal input parameters were a 9-s sample window and relative exercise intensity threshold of 31% oxygen uptake reserve. The automated method showed good relative (ρ = 0.95–0.96 and ICC = 0.96–0.98, p < 0.01) and absolute (median bias = 0 s) agreement with the manual method. These findings support the use of an automated method using accelerometry-derived relative exercise intensity and a moving average sample window to detect live play periods in basketball. Frontiers Media S.A. 2021-09-27 /pmc/articles/PMC8503514/ /pubmed/34647018 http://dx.doi.org/10.3389/fspor.2021.716014 Text en Copyright © 2021 Palmer, Bini, Wundersitz and Kingsley. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Sports and Active Living Palmer, Jodie Bini, Rodrigo Wundersitz, Daniel Kingsley, Michael Criterion Validity of an Automated Method of Detecting Live Play Periods in Basketball |
title | Criterion Validity of an Automated Method of Detecting Live Play Periods in Basketball |
title_full | Criterion Validity of an Automated Method of Detecting Live Play Periods in Basketball |
title_fullStr | Criterion Validity of an Automated Method of Detecting Live Play Periods in Basketball |
title_full_unstemmed | Criterion Validity of an Automated Method of Detecting Live Play Periods in Basketball |
title_short | Criterion Validity of an Automated Method of Detecting Live Play Periods in Basketball |
title_sort | criterion validity of an automated method of detecting live play periods in basketball |
topic | Sports and Active Living |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8503514/ https://www.ncbi.nlm.nih.gov/pubmed/34647018 http://dx.doi.org/10.3389/fspor.2021.716014 |
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