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Validity and Reliability of Upper Limb Functional Assessment Using the Microsoft Kinect V2 Sensor.
Applied Bionics and Biomechanics ( IF 1.8 ) Pub Date : 2019-02-11 , DOI: 10.1155/2019/7175240
Laisi Cai 1 , Ye Ma 1 , Shuping Xiong 2 , Yanxin Zhang 3
Affiliation  

Objective. To quantify the concurrent accuracy and the test-retest reliability of a Kinect V2-based upper limb functional assessment system. Approach. Ten healthy males performed a series of upper limb movements, which were measured concurrently with Kinect V2 and the Vicon motion capture system (gold standard). Each participant attended two testing sessions, seven days apart. Four tasks were performed including hand to contralateral shoulder, hand to mouth, combing hair, and hand to back pocket. Upper limb kinematics were calculated using our developed kinematic model and the UWA model for Kinect V2 and Vicon. The interdevice coefficient of multiple correlation (CMC) and the root mean squared error (RMSE) were used to evaluate the validity of the kinematic waveforms. Mean absolute bias and Pearson’s correlation were used to evaluate the validity of the angles at the points of target achieved (PTA) and the range of motion (ROM). The intersession CMC and RMSE and the intraclass correlation coefficient (ICC) were used to assess the test-retest reliability of Kinect V2. Main Results. Both validity and reliability are found to be task-dependent and plane-dependent. Kinect V2 had good accuracy in measuring shoulder and elbow flexion/extension angular waveforms (), moderate accuracy of measuring shoulder adduction/abduction angular waveforms (-0.82), and poor accuracy of measuring shoulder internal/external angles (). We also found high test-retest reliability of Kinect V2 in most of the upper limb angular waveforms (-0.99), angles at the PTA (-0.91), and the ROM (-0.96). Significance. Kinect V2 has great potential as a low-cost, easy implemented device for assessing upper limb angular waveforms when performing functional tasks. The system is suitable for assessing relative within-person change in upper limb motions over time, such as disease progression or improvement due to intervention.

中文翻译:

使用 Microsoft Kinect V2 传感器进行上肢功能评估的有效性和可靠性。

客观。量化基于 Kinect V2 的上肢功能评估系统的并发准确性和重测信度。方法. 十名健康男性进行了一系列上肢运动,这些运动与 Kinect V2 和 Vicon 动作捕捉系统(金标准)同时测量。每个参与者参加了两次测试,相隔 7 天。进行了四项任务,包括手到对侧肩、手到嘴、梳理头发和手到后袋。使用我们开发的运动学模型和 Kinect V2 和 Vicon 的 UWA 模型计算上肢运动学。设备间多重相关系数 (CMC) 和均方根误差 (RMSE) 用于评估运动波形的有效性。平均绝对偏差和皮尔逊相关性用于评估达到目标点(PTA)和运动范围(ROM)的角度的有效性。使用会话间期 CMC 和 RMSE 以及组内相关系数 (ICC) 来评估 Kinect V2 的重测信度。主要结果。有效性和可靠性都被发现是任务相关和平面相关的。Kinect V2 在测量肩部和肘部屈伸角波形方面具有良好的准确性(),测量肩内收/外展角波形的中等精度(- 0.82),测量肩内角/外角精度差()。我们还在大多数上肢角波形中发现了 Kinect V2 的高重测信度(- 0.99),PTA 处的角度 (- 0.91), 和 ROM (- 0.96)。意义。Kinect V2 作为一种低成本、易于实施的设备具有巨大的潜力,用于在执行功能任务时评估上肢角波形。该系统适用于评估随着时间的推移上肢运动的相对人体内变化,例如由于干预导致的疾病进展或改善。
更新日期:2019-02-11
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