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一款用于实时评估505转向测试变化的人工智能应用程序的有效性和设备间可靠性。

Validity and Inter-Device Reliability of an Artificial Intelligence App for Real-Time Assessment of 505 Change of Direction Tests.

作者信息

Barrera-Domínguez Francisco J, Jones Paul A, Almagro Bartolomé J, Molina-López Jorge

机构信息

Faculty of Education, Psychology and Sport Sciences, COIDESO, University of Huelva, Huelva, Spain.

Directorate of Sport, Exercise and Physiotherapy, University of Salford, Salford, UK.

出版信息

Eur J Sport Sci. 2025 Feb;25(2):e12252. doi: 10.1002/ejsc.12252.

DOI:10.1002/ejsc.12252
PMID:39808165
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11730434/
Abstract

The present study aimed to explore the validity and inter-device reliability of a novel artificial intelligence app (Asstrapp) for real-time measurement of the traditional (tra505) and modified-505 (mod505) change of direction (COD) tests. Twenty-five male Sports Science students (age, 23.5 ± 3.27 years; body height, 178 ± 9.76 cm; body mass, 79.4 ± 14.7 kg) completed 12 trials each, consisting of six tra505 and six mod505 trials. Completion times were simultaneously recorded via single-beam electronic timing gates (ETG) and two different iPhones (APP1 and APP2). In total 300 trials were collected across the two tests, using all three devices, to establish the reliability and validity of the app. The coefficient of variation indicated a similar level of dispersion between the ETG (≤ 2.73%), APP1 (≤ 2.39%) and APP2 (≤ 2.52%). Intraclass correlation coefficients (ICC) revealed excellent reliability among the three timing devices (ICC ≥ 0.99) and Asstrapp relative reliability was excellent for both APP1 (ICC ≥ 0.91) and APP2 (ICC ≥ 0.91). There was a practically perfect correlation and agreement between ETG and Asstrapp (APP1: r = 0.97; APP2: r = 0.97) for both COD tests. However, small but significant differences were found between smartphones and ETG for tra505 (ES ≤ 0.33; p < 0.05). Collectively, these findings support the use of Asstrapp for real-time assessment of both 505 COD tests.

摘要

本研究旨在探讨一款新型人工智能应用程序(Asstrapp)用于实时测量传统505(tra505)和改良505(mod505)变向(COD)测试的有效性和设备间可靠性。25名体育科学专业的男性学生(年龄23.5±3.27岁;身高178±9.76厘米;体重79.4±14.7千克)每人完成12次测试,包括6次tra505测试和6次mod505测试。通过单束电子计时门(ETG)和两部不同的苹果手机(APP1和APP2)同时记录完成时间。在这两项测试中,使用所有三种设备共收集了300次测试数据,以确定该应用程序的可靠性和有效性。变异系数表明ETG(≤2.73%)、APP1(≤2.39%)和APP2(≤2.52%)之间的离散程度相似。组内相关系数(ICC)显示三种计时设备之间具有出色的可靠性(ICC≥0.99),并且Asstrapp对于APP1(ICC≥0.91)和APP2(ICC≥0.91)的相对可靠性也非常出色。对于两项COD测试,ETG与Asstrapp(APP1:r = 0.97;APP2:r = 0.97)之间存在几乎完美的相关性和一致性。然而,在tra505测试中,智能手机与ETG之间发现了微小但显著的差异(效应量≤0.33;p<0.05)。总体而言,这些发现支持使用Asstrapp对两项505 COD测试进行实时评估。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ad9/11730434/fe3a1699b58c/EJSC-25-e12252-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ad9/11730434/de1043751b1d/EJSC-25-e12252-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ad9/11730434/ba4f36f6f101/EJSC-25-e12252-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ad9/11730434/fe3a1699b58c/EJSC-25-e12252-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ad9/11730434/de1043751b1d/EJSC-25-e12252-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ad9/11730434/ba4f36f6f101/EJSC-25-e12252-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ad9/11730434/fe3a1699b58c/EJSC-25-e12252-g003.jpg

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