...
首页> 外文期刊>Engineering journal >Novel Design and Implementation of a 4-DOF Upper Limb Exoskeleton for Stroke Rehabilitation with Active Assistive Control Strategy
【24h】

Novel Design and Implementation of a 4-DOF Upper Limb Exoskeleton for Stroke Rehabilitation with Active Assistive Control Strategy

机译:主动辅助控制策略的中风四自由度上肢外骨骼的新颖设计与实现

获取原文
           

摘要

We developed a robot, CUREs (Chulalongkorn University Rehabilitation Robotic Exoskeleton system), for upper extremity rehabilitation. The active assistive control strategy based on the impedance force control is developed and implemented to obtain assistive-resistive paths tracking for rehabilitation activities. The desired trajectory or rehabilitated training pattern for each specific patient need to be assigned first by a medical doctor and a physical therapy. The therapist can program the desired trajectory by guiding the patient arm based on the assigned path pattern and the set of via points will be stored and used for generating the desired trajectory. The desired trajectory will be stored specific for the patient and can be called back anytime. During the rehabilitation, the robot can assist and resist the patient’s arm to follow the desired trajectory. If the patient has difficulty moving his arm to track the desired path, the robot will help by adding more torque to help the patient to move his arm to reduce the error between the desired path and the actual posture. And if the patient himself can move his arm tracking the desired path, the robot will not apply any more force to assist or resist. The necessary state variables such as angular position and torque can be recorded during the training. The main purpose of the experiment, follow the medical ethic, is to assure that there is no side effect for using this rehabilitation robot. Five subacute stroke patients participated in this pilot study. All patients have severe upper extremity weakness. The medical doctor will assign the training pattern based on patient condition. The result showed that the Fugl-Meyer Assessment Upper Extremity Scale was improved after 10 days of training in all participants without any sign of side effect.
机译:我们开发了用于上肢康复的机器人CUREs(朱拉隆功大学康复机器人骨骼系统)。开发并实施了基于阻抗力控制的主动辅助控制策略,以获取针对康复活动的辅助阻力路径跟踪。首先需要由医生和物理疗法为每个特定患者分配所需的轨迹或康复训练模式。治疗师可以根据分配的路径模式通过引导患者手臂来编程所需的轨迹,并且将存储一组通孔点并将其用于生成所需的轨迹。期望的轨迹将特定于患者存储,并且可以随时调用。在康复过程中,机器人可以协助并抵抗患者的手臂以遵循所需的轨迹。如果患者难以移动手臂以跟踪所需的路径,机器人将通过增加更多的扭矩来帮助患者移动手臂,以减少所需路径与实际姿势之间的误差。而且,如果患者本人可以移动手臂追踪所需的路径,则机器人将不再施加更多的力来辅助或抵抗。在训练过程中可以记录必要的状态变量,例如角度位置和扭矩。遵循医学伦理,该实验的主要目的是确保使用此康复机器人不会产生副作用。五名亚急性中风患者参加了该初步研究。所有患者均患有严重的上肢无力。医生将根据患者情况分配训练模式。结果表明,对所有参与者进行10天的训练后,Fugl-Meyer评估上肢量表得到了改善,而没有任何副作用的迹象。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号