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DESIGN OF A 6-D0F ROBOTIC GAIT TRAINING SYSTEM WITH CLOSED-CHAIN FOOT INITIATED KINEMATICS CONTROL

机译:闭链脚启动运动控制的6-D0F机器人步态训练系统设计

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Robotic assisted rehabilitation, taking advantage of neuroplasticity, has been shown to be helpful in regaining some degree of gait performance. Robot-applied movement along with voluntary efferent motor commands coordinated with the robot allows optimization of motion training. We present the design and characteristics of a novel foot-based 6-degree-of-freedom (DOF) robot-assisted gait training system where the limb trajectory mirrored the normal walking gait. The goal of this study was to compare robot-assisted gait to normal walking gait, where the limb moved independently without robotics. Motion analysis was used to record the three-dimensional kinematics of the right lower extremity. Walking motion data were determined and transferred to the robotic motion application software for inclusion in the robotic trials where the robot computer software was programmed to produce a gait pattern in the foot equivalent to the gait pattern recorded from the normal walking gait trial. Results demonstrated that ankle; knee and hip joint motions produced by the robot are consistent with the joint motions in walking gait. We believe that this control algorithm provides a rationale for use in future rehabilitation, targeting robot-assisted training in people with neuromuscular disabilities such as stroke.
机译:利用神经可塑性的机器人辅助康复已被证明有助于恢复一定程度的步态表现。机器人应用的运动以及与机器人协调的自愿发出的运动命令可以优化运动训练。我们介绍了一种新颖的基于脚的6自由度(DOF)机器人辅助步态训练系统的设计和特征,该系统的肢体轨迹反映了正常的步态。这项研究的目的是将机器人辅助步态与正常步行步态进行比较,在这种情况下,肢体无需机器人就可以独立移动。运动分析被用来记录右下肢的三维运动学。确定步行运动数据并将其传输到机器人运动应用程序软件中,以包括在机器人试验中,在该试验中,对机器人计算机软件进行编程以在脚中产生与从正常步行步态试验记录的步态图等效的步态图。结果表明脚踝;机器人产生的膝盖和髋关节运动与步行步态中的关节运动一致。我们相信,这种控制算法为将来的康复提供了理论依据,其目标是针对中风等神经肌肉疾病患者的机器人辅助训练。

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