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Experimental Validation of Depth Cameras for the Parameterization of Functional Balance of Patients in Clinical Tests

机译:深度相机在临床测试中对患者功能平衡进行参数化的实验验证

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摘要

In clinical practice, patients’ balance can be assessed using standard scales. Two of the most validated clinical tests for measuring balance are the Timed Up and Go (TUG) test and the MultiDirectional Reach Test (MDRT). Nowadays, inertial sensors (IS) are employed for kinematic analysis of functional tests in the clinical setting, and have become an alternative to expensive, 3D optical motion capture systems. In daily clinical practice, however, IS-based setups are yet cumbersome and inconvenient to apply. Current depth cameras have the potential for such application, presenting many advantages as, for instance, being portable, low-cost and minimally-invasive. This paper aims at experimentally validating to what extent this technology can substitute IS for the parameterization and kinematic analysis of the TUG and the MDRT tests. Twenty healthy young adults were recruited as participants to perform five different balance tests while kinematic data from their movements were measured by both a depth camera and an inertial sensor placed on their trunk. The reliability of the camera’s measurements is examined through the Interclass Correlation Coefficient (ICC), whilst the Pearson Correlation Coefficient (r) is computed to evaluate the correlation between both sensor’s measurements, revealing excellent reliability and strong correlations in most cases.
机译:在临床实践中,可以使用标准量表评估患者的平衡。衡量平衡的最有效的两项临床测试是“定时出门”(TUG)测试和“多方位”测试(MDRT)。如今,惯性传感器(IS)用于临床环境中功能测试的运动学分析,并且已成为昂贵的3D光学运动捕捉系统的替代方案。然而,在日常临床实践中,基于IS的设置仍然很麻烦且不方便应用。当前的深度相机具有这种应用的潜力,表现出许多优点,例如,便携式,低成本和微创。本文旨在通过实验验证该技术可以在多大程度上代替IS来进行TUG和MDRT测试的参数化和运动学分析。招募了二十名健康的年轻人作为参与者,进行五种不同的平衡测试,而运动的运动学数据则通过放置在其躯干上的深度相机和惯性传感器进行测量。通过类间相关系数(ICC)检查摄像机测量的可靠性,同时计算皮尔逊相关系数(r)来评估两个传感器的测量之间的相关性,从而在大多数情况下显示出出色的可靠性和强相关性。

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