Design of Elbow Exoskeleton with Wireless System Control for Post Stroke Flexion-Extension Rehabilitation

Laily Asna Safira, A. Arifin, Atar Babgei, E. A. Suprayitno
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Abstract

In this paper we proposed a rehabilitation system that assists therapists to restore motor function by repetitive flexion-extension movement using robotic technology. The sys-tem is an elbow exoskeleton that can be controlled based on elbow rotation angle and angular velocity. The system also equipped with wireless communication to give therapists an ability to determine the trajectory of motor movement patterns and speed. For speed control, therapists need to input Pulse Width Modulation (PWM) value by Android application that conducts 100% accuracy to communicate the PWM value to microcontroller through bluetooth connection. INA226 sensor used by the system for measuring current value in order to detect the voluntary movement that occured in subject's arm. Proportional Integral Derivative control (PID) used in order to achieve a predetermined trajectory value and maintain the Rotation per Minute (RPM) of the DC motor. As a result, the system can reach the target for fulfill 120-degree movement with 83.3% accuracy with passive hand and 100% accuracy with active arm condition. The measure of the sensor is used to analyze the rehabilitation process quantitatively and determine future treatment. This method expected can help patients to get intensive rehabilitation and make it easier for therapists to evaluate and rehabilitate patients.
脑卒中后屈伸康复无线系统控制肘关节外骨骼设计
在本文中,我们提出了一个康复系统,帮助治疗师通过使用机器人技术重复屈伸运动来恢复运动功能。该系统是一个肘关节外骨骼,可以根据肘关节的旋转角度和角速度进行控制。该系统还配备了无线通信,使治疗师能够确定运动模式和速度的轨迹。对于速度控制,治疗师需要通过Android应用程序输入脉冲宽度调制(PWM)值,该应用程序进行100%精度,通过蓝牙连接将PWM值传递给微控制器。系统使用INA226传感器测量电流值,以检测受试者手臂发生的自主运动。比例积分导数控制(PID)用于实现预定的轨迹值并保持直流电机的每分钟旋转(RPM)。实验结果表明,该系统可以达到120度运动目标,手部被动时精度为83.3%,手臂主动时精度为100%。传感器的测量值用于定量分析康复过程并确定未来的治疗方法。期望这种方法可以帮助患者获得强化康复,使治疗师更容易评估和康复患者。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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