Fluet Marie-Christine, Lambercy Olivier, Gassert Roger
Rehabilitation Engineering Lab, ETH Zurich, Switzerland.
IEEE Int Conf Rehabil Robot. 2011;2011:5975348. doi: 10.1109/ICORR.2011.5975348.
This paper presents the initial evaluation of a Virtual Peg Insertion Test developed to assess sensorimotor functions of arm and hand using an instrumented tool, virtual reality and haptic feedback. Nine performance parameters derived from kinematic and kinetic data were selected and compared between two groups of healthy subjects performing the task with the dominant and non-dominant hand, as well as with a group of chronic stroke subjects suffering from different levels of upper limb impairment. Results showed significantly smaller grasping forces applied by the stroke subjects compared to the healthy subjects. The grasping force profiles suggest a poor coordination between position and grasping for the stroke subjects, and the collision forces with the virtual board were found to be indicative of sensory deficits. These preliminary results suggest that the analyzed parameters could be valid indicators of impairment.
本文介绍了一项虚拟销钉插入测试的初步评估，该测试旨在使用仪器化工具、虚拟现实和触觉反馈来评估手臂和手部的感觉运动功能。从运动学和动力学数据中选取了九个性能参数，并在两组使用优势手和非优势手执行任务的健康受试者以及一组患有不同程度上肢损伤的慢性中风受试者之间进行了比较。结果显示，与健康受试者相比，中风受试者施加的抓握力明显较小。抓握力曲线表明中风受试者在位置和抓握之间的协调性较差，并且发现与虚拟板的碰撞力表明存在感觉缺陷。这些初步结果表明，所分析的参数可能是损伤的有效指标。
