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Reliable Sagittal Plane Kinematic Gait Assessments are Feasible using Low-Cost Webcam Technology

机译:使用低成本网络摄像头技术进行可靠的矢状面运动步态评估是可行的

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摘要

Three-dimensional (3-D) motion capture systems are commonly used for gait analysis because they provide reliable and accurate measurements. However, the downside of this approach is that it is expensive and requires technical expertise; thus making it less feasible in the clinic. To address this limitation, we recently developed and validated (using a high-precision walking robot) a low-cost, two-dimensional (2-D) real-time motion tracking approach using a simple webcam and LabVIEW Vision Assistant. The purpose of this study was to establish the repeatability and minimal detectable change values of hip and knee sagittal plane gait kinematics recorded using this system. Twenty-one healthy subjects underwent two kinematic assessments while walking on a treadmill at a range of gait velocities. Intraclass correlation coefficients (ICC) and minimal detectable change (MDC) values were calculated for commonly used hip and knee kinematic parameters to demonstrate the reliability of the system. Additionally, Bland-Altman plots were generated to examine the agreement between the measurements recorded on two different days. The system demonstrated good to excellent reliability (ICC > 0.75) for all the gait parameters tested on this study. The MDC values were typically low (< 5°) for most of the parameters. The Bland-Altman plots indicated that there was no systematic error or bias in kinematic measurements and showed good agreement between measurements obtained on two different days. These results indicate that kinematic gait assessments using webcam technology can be reliably used for clinical and research purposes.
机译:三维(3-D)运动捕获系统通常用于步态分析,因为它们可提供可靠而准确的测量结果。但是,这种方法的缺点是价格昂贵并且需要专业技术知识。因此,在临床上不太可行。为了解决这一限制,我们最近使用简单的网络摄像头和LabVIEW Vision Assistant开发并验证了(使用高精度步行机器人)低成本的二维(2-D)实时运动跟踪方法。这项研究的目的是建立使用该系统记录的臀部和膝盖矢状面步态运动学的可重复性和最小的可检测变化值。 21名健康受试者在跑步机上以各种步态速度行走时,进行了两项运动学评估。计算了常用髋和膝运动学参数的类内相关系数(ICC)和最小可检测变化(MDC)值,以证明系统的可靠性。此外,还生成了Bland-Altman图,以检查在两个不同日期记录的测量值之间的一致性。对于该研究中测试的所有步态参数,该系统都表现出良好的可靠性(ICC> 0.75)。对于大多数参数,MDC值通常较低(<5°)。布兰德-奥特曼(Bland-Altman)图表明,运动学测量中没有系统误差或偏差,并且在两天之内获得的测量结果之间具有良好的一致性。这些结果表明,使用网络摄像头技术进行运动步态评估可以可靠地用于临床和研究目的。

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