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A new approach to quantify elbow position sense using an exoskeleton and a virtual reality display

机译:一种使用外骨骼和虚拟现实显示器量化肘部位置感的新方法

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Most of the proprioception assessments commonly used are not adapted for individuals who present multiple impairments after a stroke. Indeed, these assessments require certain motor or cognitive functions that are generally affected after a stroke. We have therefore developed a protocol, combining a robotic device and a virtual reality display, that enables the assessment of position sense without requiring active movement in the evaluated arm, involving the opposite arm or relying on working memory. As a preliminary step of validation, elbow joint position sense of healthy young adults was quantified and test-retest reliability was studied. Results show that this protocol can quantify elbow position sense of healthy young adults (mean detection threshold: around 7 degrees), with a fair to good test-retest reliability.
机译:常用的大多数预先应用评估不适用于在中风后呈现多种损伤的个体。实际上,这些评估需要一定在中风后受影响的某些电动机或认知功能。因此,我们已经开发了一种协议,组合机器人设备和虚拟现实显示器,这使得能够评估位置感,而不需要在评估的臂中的主动运动,涉及相对的臂或依赖于工作存储器。作为验证的初步步骤,测量了健康年轻成人的肘关节位置感,并研究了测试重保持可靠性。结果表明,该议定书可以量化肘部位置感应健康年轻成人(平均检测阈值:大约7度),具有良好的测试保持可靠性。

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