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用于自行车分析的 3D 相机系统验证。

Validation of a 3D Camera System for Cycling Analysis.

机构信息

Master and Doctoral Programs in Physical Therapy, Universidade Cidade de Sao Paulo (UNICID), Sao Paulo 03071-000, Brazil.

Physical Therapy Department, Universidade do Sul de Santa Catarina (UNISUL), Palhoça 88137-272, Brazil.

出版信息

Sensors (Basel). 2021 Jun 30;21(13):4473. doi: 10.3390/s21134473.

DOI:10.3390/s21134473
PMID:34208808
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8271997/
Abstract

BACKGROUND

Kinematic analysis aimed toward scientific investigation or professional purposes is commonly unaffordable and complex to use.

OBJECTIVE

The purpose of this study was to verify concurrent validation between a cycling-specific 3D camera and the gold-standard 3D general camera systems.

METHODS

Overall, 11 healthy amateur male triathletes were filmed riding their bicycles with Vicon 3D cameras and the Retul 3D cameras for bike fitting analysis simultaneously. All 18 kinematic measurements given by the bike fitting system were compared with the same data given by Vicon cameras through Pearson correlation (), intraclass correlation coefficients (ICC), standard error measurements (SEM), and Bland-Altman (BA) analysis. Confidence intervals of 95% are given.

RESULTS

A very high correlation between cameras was found on six of 18 measurements. All other presented a high correlation between cameras (between 0.7 and 0.9). In total, six variables indicate a SEM of less than one degree between systems. Only two variables indicate a SEM higher than two degrees between camera systems. Overall, four measures indicate bias tendency according to BA.

CONCLUSIONS

The cycling-specific led-emitting 3D camera system tested revealed a high or very high degree of correlation with the gold-standard 3D camera system used in laboratory motion capture. In total, 14 measurements of this equipment could be used in sports medicine clinical practice and even by researchers of cycling studies.

摘要

背景

运动学分析旨在进行科学研究或专业目的,但通常无法负担且使用复杂。

目的

本研究旨在验证特定于自行车运动的 3D 摄像头与黄金标准 3D 通用摄像头系统之间的同时验证。

方法

总共有 11 名健康的业余男性三项全能运动员同时使用 Vicon 3D 摄像机和 Retul 3D 摄像机拍摄他们骑自行车的视频,用于自行车拟合分析。通过 Pearson 相关系数()、组内相关系数(ICC)、标准误差测量(SEM)和 Bland-Altman(BA)分析,将自行车拟合系统给出的所有 18 个运动学测量值与 Vicon 摄像机给出的相同数据进行比较。给出了 95%的置信区间。

结果

在 18 个测量值中的 6 个测量值中,相机之间的相关性非常高。其他所有值都显示出相机之间的高相关性(在 0.7 到 0.9 之间)。总体而言,有六个变量表明两个系统之间的 SEM 小于 1 度。只有两个变量表明两个相机系统之间的 SEM 大于 2 度。总体而言,有四个测量值根据 BA 显示出偏差趋势。

结论

经测试,特定于自行车运动的发光二极管 3D 摄像头系统与用于实验室运动捕捉的黄金标准 3D 摄像头系统具有高度或非常高的相关性。总体而言,该设备的 14 个测量值可用于运动医学临床实践,甚至可用于自行车研究的研究人员使用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c892/8271997/3f6c5643d9ed/sensors-21-04473-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c892/8271997/a3c3e037e248/sensors-21-04473-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c892/8271997/78f4b8b811b1/sensors-21-04473-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c892/8271997/3f6c5643d9ed/sensors-21-04473-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c892/8271997/a3c3e037e248/sensors-21-04473-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c892/8271997/78f4b8b811b1/sensors-21-04473-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c892/8271997/3f6c5643d9ed/sensors-21-04473-g003.jpg

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