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混合现实辅助机器人动力轮椅模拟器,用于帕金森震颤测试。

Mixed-reality assistive robotic power chair simulator for Parkinson's tremor testing.

机构信息

Department of Mechanical and Aerospace Engineering, Western Michigan University, 1903 Kalamazoo, MI 49008 USA.

Department of Mechanical and Aerospace Engineering, Western Michigan University, 1903 Kalamazoo, MI 49008 USA.

出版信息

Med Eng Phys. 2020 Sep;83:142-147. doi: 10.1016/j.medengphy.2020.05.005. Epub 2020 May 19.

Abstract

This note describes the development of a mixed-reality assistive robotic wheel chair simulator for testing of Parkinson's tremor mitigation and operator assistance. It consists of a power chair (PCh), roller dynamometer, head mounted virtual reality (VR) display, computer with VR game engine, and microcontroller to interface the PCh and computer. Unlike past VR PCh simulators, both a tremor notch filter and basic collision avoidance is implemented. Further, the simulator identifies the Parkinson's tremor frequency. Operator performance is assessed using deviations from a given route and velocity profile. To demonstrate the simulator's operation, an operator with Parkinson's tremor drove the PCh down two 20 m long hallways connected by a 90 turn while operating data was collected. Results show less variation in velocity tracking with use of the notch filter than without it; route tracking was nearly the same. Advantages of the simulator compared to a wholly physical approach are low cost, improved safety, portability, small footprint, and environments and robotic features are virtual.

摘要

本说明描述了一种混合现实辅助机器人轮椅模拟器的开发,用于测试帕金森震颤缓解和操作人员辅助功能。它由动力轮椅(PCh)、滚轮测力计、头戴式虚拟现实(VR)显示器、具有 VR 游戏引擎的计算机以及用于连接 PCh 和计算机的微控制器组成。与过去的 VR PCh 模拟器不同,本模拟器既实现了震颤陷波滤波器,又实现了基本的避碰功能。此外,该模拟器还能识别帕金森震颤频率。操作人员的性能通过偏离给定路线和速度曲线来评估。为了演示模拟器的操作,一名患有帕金森震颤的操作人员在操作数据采集的情况下,驾驶 PCh 通过两条 20 米长的走廊,两条走廊通过一个 90 度转弯连接。结果表明,使用陷波滤波器比不使用时速度跟踪的变化更小;路线跟踪几乎相同。与完全物理方法相比,该模拟器的优势在于成本低、安全性提高、便携性、占地面积小,以及环境和机器人功能均为虚拟。

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