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一款商用无标记运动捕捉系统在跳跃着陆评估中用于躯干和下肢运动学分析的验证

Validation of a Commercially Available Markerless Motion-Capture System for Trunk and Lower Extremity Kinematics During a Jump-Landing Assessment.

作者信息

Mauntel Timothy C, Cameron Kenneth L, Pietrosimone Brian, Marshall Stephen W, Hackney Anthony C, Padua Darin A

机构信息

Department of Defense-Department of Veterans Affairs Extremity Trauma and Amputation Center of Excellence, Walter Reed National Military Medical Center, Bethesda, MD.

Department of Surgery,Uniformed Services University of the Health Sciences, Bethesda, MD.

出版信息

J Athl Train. 2021 Feb 1;56(2):177-190. doi: 10.4085/1062-6050-0023.20.

Abstract

CONTEXT

Field-based, portable motion-capture systems can be used to help identify individuals at greater risk of lower extremity injury. Microsoft Kinect-based markerless motion-capture systems meet these requirements; however, until recently, these systems were generally not automated, required substantial data postprocessing, and were not commercially available.

OBJECTIVE

To validate the kinematic measures of a commercially available markerless motion-capture system.

DESIGN

Descriptive laboratory study.

SETTING

Laboratory.

PATIENTS OR OTHER PARTICIPANTS

A total of 20 healthy, physically active university students (10 males, 10 females; age = 20.50 ± 2.78 years, height = 170.36 ± 9.82 cm, mass = 68.38 ± 10.07 kg, body mass index = 23.50 ± 2.40 kg/m2).

INTERVENTION(S): Participants completed 5 jump-landing trials. Kinematic data were simultaneously recorded using Kinect-based markerless and stereophotogrammetric motion-capture systems.

MAIN OUTCOME MEASURE(S): Sagittal- and frontal-plane trunk, hip-joint, and knee-joint angles were identified at initial ground contact of the jump landing (IC), for the maximum joint angle during the landing phase of the initial landing (MAX), and for the joint-angle displacement from IC to MAX (DSP). Outliers were removed, and data were averaged across trials. We used intraclass correlation coefficients (ICCs [2,1]) to assess intersystem reliability and the paired-samples t test to examine mean differences (α ≤ .05).

RESULTS

Agreement existed between the systems (ICC range = -1.52 to 0.96; ICC average = 0.58), with 75.00% (n = 24/32) of the measures being validated (P ≤ .05). Agreement was better for sagittal- (ICC average = 0.84) than frontal- (ICC average = 0.35) plane measures. Agreement was best for MAX (ICC average = 0.77) compared with IC (ICC average = 0.56) and DSP (ICC average = 0.41) measures. Pairwise comparisons identified differences for 18.75% (6/32) of the measures. Fewer differences were observed for sagittal- (0.00%; 0/15) than for frontal- (35.29%; 6/17) plane measures. Between-systems differences were equivalent for MAX (18.18%; 2/11), DSP (18.18%; 2/11), and IC (20.00%; 2/10) measures. The markerless system underestimated sagittal-plane measures (86.67%; 13/15) and overestimated frontal-plane measures (76.47%; 13/17). No trends were observed for overestimating or underestimating IC, MAX, or DSP measures.

CONCLUSIONS

Moderate agreement existed between markerless and stereophotogrammetric motion-capture systems. Better agreement existed for larger (eg, sagittal-plane, MAX) than for smaller (eg, frontal-plane, IC) joint angles. The DSP angles had the worst agreement. Markerless motion-capture systems may help clinicians identify individuals at greater risk of lower extremity injury.

摘要

背景

基于现场的便携式运动捕捉系统可用于帮助识别下肢受伤风险较高的个体。基于微软Kinect的无标记运动捕捉系统符合这些要求;然而,直到最近,这些系统通常不是自动化的,需要大量的数据后处理,并且没有商业产品。

目的

验证一种商用无标记运动捕捉系统的运动学测量结果。

设计

描述性实验室研究。

地点

实验室。

患者或其他参与者

共有20名健康、身体活跃的大学生(10名男性,10名女性;年龄 = 20.50 ± 2.78岁,身高 = 170.36 ± 9.82厘米,体重 = 68.38 ± 10.07千克,体重指数 = 23.50 ± 2.40千克/平方米)。

干预措施

参与者完成5次跳跃着陆试验。使用基于Kinect的无标记和立体摄影测量运动捕捉系统同时记录运动学数据。

主要观察指标

在跳跃着陆的初始地面接触(IC)、初始着陆着陆阶段的最大关节角度(MAX)以及从IC到MAX的关节角度位移(DSP)时,确定矢状面和额状面的躯干、髋关节和膝关节角度。去除异常值,并对试验数据进行平均。我们使用组内相关系数(ICC[2,1])评估系统间的可靠性,并使用配对样本t检验检查均值差异(α≤0.05)。

结果

系统间存在一致性(ICC范围 = -1.52至0.96;ICC平均值 = 0.58),75.00%(n = 24/32)的测量结果得到验证(P≤0.05)。矢状面(ICC平均值 = 0.84)的一致性优于额状面(ICC平均值 = 0.35)。与IC(ICC平均值 = 0.56)和DSP(ICC平均值 = 0.41)测量相比,MAX(ICC平均值 = 0.77)的一致性最好。成对比较发现18.75%(6/32)的测量结果存在差异。矢状面(0.00%;0/15)的差异比额状面(35.29%;6/17)少。MAX(18.18%;2/11)、DSP(18.18%;2/11)和IC(20.00%;2/10)测量的系统间差异相当。无标记系统低估了矢状面测量结果(86.67%;13/15),高估了额状面测量结果(76.47%;13/17)。在高估或低估IC、MAX或DSP测量结果方面未观察到趋势。

结论

无标记和立体摄影测量运动捕捉系统之间存在中等程度的一致性。较大的关节角度(如矢状面、MAX)比较小的关节角度(如额状面、IC)一致性更好。DSP角度的一致性最差。无标记运动捕捉系统可能有助于临床医生识别下肢受伤风险较高的个体。

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