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深度感应相机在青少年运动员侧切动作中进行非接触式前交叉韧带损伤筛查的同时效度:一项初步研究。

Concurrent Validity of Depth-Sensing Cameras for Noncontact ACL Injury Screening During Side-Cut Maneuvers in Adolescent Athletes: A Preliminary Study.

作者信息

Eltoukhy Moataz, Kuenze Christopher, Oh Jeonghoon, Apanovitch Eryn, Butler Lauren, Signorile Joseph F

机构信息

1 University of Miami.

2 Michigan State University.

出版信息

J Appl Biomech. 2019 Feb 1;35(1):2-10. doi: 10.1123/jab.2018-0105. Epub 2018 Dec 8.

DOI:10.1123/jab.2018-0105
PMID:29989470
Abstract

Anterior cruciate ligament (ACL) injury is one of the most common knee injuries among adolescent athletes. Majority of the ACL injuries occur due to pivoting, sudden deceleration, and direction change without contact with any player. Preventive interventions can reduce risks of the ACL injury, thus developing a clinician friendly biomechanical assessment tool to identify athletes with such risk factors is crucial. In this study, the authors investigated the concurrent validity of a commercially available depth sensor, Microsoft Kinect, as a cost-effective alternative to the gold-standard 3-dimensional motion analysis systems in noncontact ACL screening for adolescent athletes during side-cut maneuvers. Study participants performed 45° side-cut maneuvers while collecting data from both systems concurrently. The sagittal and frontal plane kinematics were analyzed during the full stance phase and the first 20% of the stance (early deceleration). Absolute agreement (range: ICC = .767-.989) and consistency (range: ICC = .799-.992) were excellent for all measures except early deceleration frontal plane hip angle, which displayed good absolute agreement (ICC = .643) and consistency (ICC = .625). Findings showed that the Kinect has the potential to be an effective clinical assessment tool for sagittal and frontal plane trunk, hip, and knee kinematics during the side-cut maneuvers.

摘要

前交叉韧带(ACL)损伤是青少年运动员中最常见的膝关节损伤之一。大多数ACL损伤是由于在不与任何球员接触的情况下进行旋转、突然减速和改变方向所致。预防性干预措施可以降低ACL损伤的风险,因此开发一种对临床医生友好的生物力学评估工具来识别具有此类风险因素的运动员至关重要。在本研究中,作者调查了市售深度传感器Microsoft Kinect作为金标准三维运动分析系统的经济有效替代方案,在青少年运动员侧切动作的非接触式ACL筛查中的同时效度。研究参与者在同时从两个系统收集数据的情况下进行45°侧切动作。在整个站立阶段和站立的前20%(早期减速)期间分析矢状面和额状面运动学。除早期减速额状面髋关节角度外,所有测量的绝对一致性(范围:ICC = 0.767 - 0.989)和一致性(范围:ICC = 0.799 - 0.992)都非常好,早期减速额状面髋关节角度显示出良好的绝对一致性(ICC = 0.643)和一致性(ICC = 0.625)。研究结果表明,Kinect有潜力成为侧切动作期间矢状面和额状面躯干、髋关节和膝关节运动学的有效临床评估工具。

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