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Kinematic analysis of a novel exoskeleton finger rehabilitation robot for stroke patients

机译:新型中风手指外骨骼手指康复机器人的运动学分析

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The exoskeleton robot technology is more and more used in the assisting stroke patients in implementing rehabilitation training. In this paper, a novel exoskeleton finger robot has been described to aim at helping varieties of hemiparalysis patients recover motor function. The robot system adopts the EEG control and mainly consists of exoskeleton finger robot, EEG system, HMI system, motor controllers unit, some sensors and a workstation. And the hand exoskeleton mechanism is portable, wearable and adjustable for patients doing home rehabilitation training. Base on the Denavit-Hartenberg (DH) parameters method, the kinematic model of finger has built to be used in designing the robot. Through the simulation software ADAMS (Automatic Dynamic Analysis of Mechanical Systems), the parameters of position, velocity and acceleration (PVA) in each joint are simulated. From the result, it can view that the robot has high movement ability to finish the Continuous Passive Motion (CPM). Besides, a comparison test is done to study whether there are some motion blocks in wearing exoskeleton robot. Form the curve figure, in the two situations, the angle range of the MCP (metacarpaophalangeal) joint is equal, which verifies the interference of robot is small. These experiments demonstrate the exoskeleton can provide high efficiency movement ability for stroke doing the rehabilitation. In the future, with the optimization design, the robot will improvement and has a bright application prospect in the rehabilitation field.
机译:外骨骼机器人技术越来越多地用于协助中风患者进行康复训练。在本文中,已经描述了一种新颖的外骨骼手指机器人,旨在帮助各种半瘫患者恢复运动功能。机器人系统采用EEG控制,主要由外骨骼手指机器人,EEG系统,HMI系统,电机控制器单元,一些传感器和工作站组成。而且手外骨骼机制便于携带,可穿戴且可调节,适合进行家庭康复训练的患者。基于Denavit-Hartenberg(DH)参数方法,建立了手指运动学模型,用于设计机器人。通过仿真软件ADAMS(机械系统的自动动态分析),对每个关节的位置,速度和加速度(PVA)参数进行了仿真。从结果可以看出,机器人具有很高的运动能力,可以完成连续被动运动(CPM)。此外,还进行了比较测试,以研究穿戴式外骨骼机器人中是否存在一些运动障碍。由曲线图可知,在两种情况下,MCP(掌指)关节的角度范围均相等,证明机器人的干扰较小。这些实验证明外骨骼可以为中风的康复提供高效率的运动能力。未来,通过优化设计,该机器人将得到改进,在康复领域具有广阔的应用前景。

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