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Quantitative assessment based on kinematic measures of functional impairments during upper extremity movements: A review

机译:基于运动学上功能性运动损伤的定量评估:综述

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Background: Quantitative measures of human movement quality are important for discriminating healthy and pathological conditions and for expressing the outcomes and clinically important changes in subjects' functional state. However the most frequently used instruments for the upper extremity functional assessment are clinical scales, that previously have been standardized and validated, but have a high subjective component depending on the observer who scores the test. But they are not enough to assess motor strategies used during movements, and their use in combination with other more objective measures is necessary. The objective of the present review is to provide an overview on objective metrics found in literature with the aim of quantifying the upper extremity performance during functional tasks, regardless of the equipment or system used for registering kinematic data.Methods: A search in Medline, Google Scholar and IEEE Xplore databases was performed following a combination of a series of keywords. The full scientific papers that fulfilled the inclusion criteria were included in the review. Findings: A set of kinematic metrics was found in literature in relation to joint displacements, analysis of hand trajectories and velocity profiles. These metrics were classified into different categories according to the movement characteristic that was being measured.Interpretation: These kinematic metrics provide the starting point for a proposed objective metrics for the functional assessment of the upper extremity in people with movement disorders as a consequence of neurological injuries. Potential areas of future and further research are presented in the Discussion section.
机译:背景:人体运动质量的定量测量对于区分健康和病理状况以及表达受试者功能状态的结果和临床重要变化非常重要。但是,上肢功能评估最常用的工具是临床量表,以前已对其进行了标准化和验证,但根据对测试进行评分的观察者,其主观成分较高。但是它们不足以评估运动过程中使用的运动策略,因此有必要将其与其他更客观的措施结合使用。本综述的目的是概述文献中发现的客观指标,以量化功能任务期间的上肢表现,而与用于记录运动数据的设备或系统无关。方法:在Medline中进行搜索,Google在结合了一系列关键字之后,执行了Scholar和IEEE Xplore数据库。符合纳入标准的完整科学论文已包括在评价中。研究结果:在文献中发现了一组与关节位移,手部轨迹分析和速度分布有关的运动学指标。这些指标根据所测量的运动特征分为不同类别。解释:这些运动指标为拟议的客观指标提供了起点,该指标旨在评估由于神经损伤而导致的运动障碍患者的上肢功能。讨论部分介绍了未来和进一步研究的潜在领域。

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