Improved kinect-based spatiotemporal and kinematic treadmill gait assessment

Improved kinect-based spatiotemporal and kinematic treadmill gait assessment
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DOI:
10.1016/j.gaitpost.2016.10.001
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发表时间:
2017-01-01
期刊:
影响因子:
2.4
通讯作者:
Signorile, Joseph
Signorile, Joseph
中科院分区:
医学3区
文献类型:
--
作者:
Eltoukhy, Moataz;Oh, Jeonghoon;Signorile, Joseph

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一种成本效益高、临床医生友好的步态评估工具可以自动跟踪患者的解剖标志,可以为从业者提供重要信息,这些信息在开出康复和预防疗法方面很有用。这项研究调查了Microsoft Kinect v2作为一种潜在的廉价步态分析工具的有效性和可靠性。10名健康受试者在跑步机上以1.3和1.6毫秒(-1)的速度行走,同时使用Kinect和三维运动分析提取时空参数和运动学。时空测量包括步长和宽度、步长和步幅、骨盆垂直和内侧运动以及脚部摆动速度。运动学结果包括髋关节、膝关节和踝关节在矢状面上的角度。两个系统之间的绝对一致性和相对一致性用类间相关系数(ICC2,1)来评估,而系统间的重复性则用林氏一致性相关系数(RC)来建立。对髋关节、膝关节和踝关节角度的整体曲线和相关的90%可信区间(CI90)进行了比较,以调查Kinect传感器是否可以在整个步态周期中一致和准确地评估下肢关节的运动。结果表明,Kinect v2传感器有可能成为一种有效的临床评估工具,用于膝关节和髋关节矢状面运动学以及步态周期中骨盆位移和步态特征等时空变量的评估。(C)2016爱思唯尔B.V.保留所有权利。
A cost-effective, clinician friendly gait assessment tool that can automatically track patients' anatomical landmarks can provide practitioners with important information that is useful in prescribing rehabilitative and preventive therapies. This study investigated the validity and reliability of the Microsoft Kinect v2 as a potential inexpensive gait analysis tool. Ten healthy subjects walked on a treadmill at 1.3 and 1.6 m.s(-1), as spatiotemporal parameters and kinematics were extracted concurrently using the Kinect and three-dimensional motion analysis. Spatiotemporal measures included step length and width, step and stride times, vertical and mediolateral pelvis motion, and foot swing velocity. Kinematic outcomes included hip, knee, and ankle joint angles in the sagittal plane. The absolute agreement and relative consistency between the two systems were assessed using interclass correlations coefficients (ICC2,1), while reproducibility between systems was established using Lin's Concordance Correlation Coefficient (rc). Comparison of ensemble curves and associated 90% confidence intervals (CI90) of the hip, knee, and ankle joint angles were performed to investigate if the Kinect sensor could consistently and accurately assess lower extremity joint motion throughout the gait cycle. Results showed that the Kinect v2 sensor has the potential to be an effective clinical assessment tool for sagittal plane knee and hip joint kinematics, as well as some spatiotemporal temporal variables including pelvis displacement and step characteristics during the gait cycle. (C) 2016 Elsevier B.V. All rights reserved.