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使用 Harmony 外骨骼评估上肢关节角度。

Assessment of Upper-Extremity Joint Angles Using Harmony Exoskeleton.

出版信息

IEEE Trans Neural Syst Rehabil Eng. 2021;29:916-925. doi: 10.1109/TNSRE.2021.3074101. Epub 2021 May 20.

Abstract

The biomechanical complexity of the human shoulder, while critical for functionality, poses a challenge for objective assessment during sensorimotor rehabilitation. With built-in sensing capabilities, robotic exoskeletons have the potential to serve as tools for both intervention and assessment. The bilateral upper-extremity Harmony exoskeleton is capable of full shoulder articulation, forearm flexion-extension, and wrist pronation-supination motions. The goal of this paper is to characterize Harmony's anatomical joint angle tracking accuracy towards its use as an assessment tool. We evaluated the agreement between anatomical joint angles estimated from the robot's sensor data and optical motion capture markers attached to the human user. In 9 healthy participants we examined 6 upper-extremity joint angles, including shoulder girdle angles, across 4 different motions, varying active/passive motion of the user and physical constraint of the trunk. We observed mostly good to excellent levels of agreement between measurement systems with for shoulder and distal joints, magnitudes of average discrepancies varying from 0.43° to 16.03° and width of LoAs ranging between 9.44° and 41.91°. Slopes were between 1.03 and 1.43 with r > 0.9 for shoulder and distal joints. Regression analysis suggested that discrepancies observed between measured robot and human motions were primarily due to relative motion associated with soft tissue deformation. The results suggest that the Harmony exoskeleton is capable of providing accurate measurements of arm and shoulder joint kinematics. These findings may lead to robot-assisted assessment and intervention of one of the most complex joint structures in the human body.

摘要

人体肩部的生物力学复杂性对于功能至关重要,但在感觉运动康复期间进行客观评估具有挑战性。具有内置感测功能的机器人外骨骼有可能成为干预和评估的工具。双边上肢 Harmony 外骨骼能够实现完整的肩部关节运动、前臂屈伸和腕关节旋前-旋后运动。本文的目的是描述 Harmony 在作为评估工具使用时的解剖关节角度跟踪准确性。我们评估了从机器人传感器数据估计的解剖关节角度与附着在人体用户上的光学运动捕捉标记之间的一致性。在 9 名健康参与者中,我们检查了 4 种不同运动中 6 个上肢关节角度,包括肩带角度,涉及用户主动/被动运动和躯干物理约束的变化。我们观察到测量系统之间的一致性大多很好到极好,肩部和远端关节的平均差异幅度从 0.43°到 16.03°不等,LOA 的宽度在 9.44°到 41.91°之间。斜率在 1.03 到 1.43 之间,肩部和远端关节的 r 值大于 0.9。回归分析表明,在测量机器人和人体运动时观察到的差异主要是由于软组织变形引起的相对运动。结果表明,Harmony 外骨骼能够提供手臂和肩部关节运动学的准确测量。这些发现可能导致机器人辅助评估和干预人体最复杂的关节结构之一。

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