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An end-effector arm rehabilitation robot with VE

机译:具有VE的末端执行器手臂康复机器人

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摘要

A novel powered end-effector arm rehabilitation robot with a game based virtual environment is introduced. The built rehabilitation robot provides both gravitational support and assistive drive force in horizontal planar motion to the user's arm. The proposed configuration completely decouples the motor's torque and can senses force in two opposite directions within task space. The paper investigated three different control modes: passive, active non-assist and active assist modes. The proposed active assist controller demonstrated effective performance as it can significantly reduce the muscle activity and force during a task. The generated assistive torque appears to be user friendly as muscle activity remains low during the exercise. In passive mode, the robot is able to maneuver the user's arm to destination chosen by the user. Surface electromyography (sEMG), force, and hand's trajectory are real-time monitored. These signals are quite useful since they are used as feedbacks for the controller and analyzed to develop a better controller or exercises for patients.
机译:介绍了一种具有基于游戏虚拟环境的新型动力末端执行器手臂康复机器人。内置的康复机器人在水平平面运动中向用户的手臂提供重力支撑和辅助驱动力。所提出的配置完全使电动机的扭矩解耦,并且可以感测任务空间内两个相反方向的力。本文研究了三种不同的控制模式:被动,主动非辅助和主动辅助模式。拟议的主动辅助控制器表现出有效的性能,因为它可以显着减少任务期间的肌肉活动和力量。由于在锻炼过程中肌肉活动仍然很低,因此生成的辅助扭矩似乎对用户友好。在被动模式下,机器人可以操纵用户的手臂到用户选择的目的地。可以实时监测表面肌电图(sEMG),力和手的轨迹。这些信号非常有用,因为它们被用作控制器的反馈并经过分析以开发出更好的控制器或用于患者的锻炼。

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