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Home rehabilitation assist robot to facilitate isolated movements for hemiplegia patients

机译:家用康复辅助机器人为偏瘫患者提供孤立的运动

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Some stroke patients are affected by hemiplegia, which is the complete paralysis of half of the body, and need to train in upper limb motions with high frequency to improve their quality of life. Therefore, the authors developed a portable robot with a main processor, actuators, motor drivers, a force sensor, and a touch display to assist such high-frequency training at home. To recover the motor function of the upper limbs by voluntary movement, this robot instructs the joint motion based on the force input. Therefore, this study proposes a force control algorithm for the omni-wheel mechanism and a method that estimates the odometry of the omni-wheel mechanism based on the circuit equation of the DC motor without rotary encoders. Moreover, a method that estimates integrated electromyograph patterns based on the force and movement of the robot using a multiple linear regression model is proposed for the evaluation of co-operative movement. The effectiveness of these proposed methods were confirmed by evaluation experiments.
机译:一些中风患者会受到偏瘫的困扰,而偏瘫是身体一半的完全瘫痪,需要训练上肢高频率的运动以改善他们的生活质量。因此,作者开发了一种便携式机器人,该机器人具有主处理器,致动器,电动机驱动器,力传感器和触摸显示器,以协助在家中进行此类高频训练。为了通过自愿运动恢复上肢的运动功能,该机器人根据输入的力指示关节运动。因此,本研究提出了一种用于全轮机构的力控制算法,以及一种基于不带旋转编码器的直流电动机的电路方程来估算全轮机构的里程的方法。此外,提出了一种使用多重线性回归模型基于机器人的力和运动来估计综合肌电图模式的方法,用于评估合作运动。评估实验证实了这些方法的有效性。

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