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首页> 外文期刊>Journal of Intelligent & Robotic Systems: Theory & Application >A Preliminary Study on Robot-Assisted Ankle Rehabilitation for the Treatment of Drop Foot
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A Preliminary Study on Robot-Assisted Ankle Rehabilitation for the Treatment of Drop Foot

机译:滴脚治疗机器人辅助踝关节康复初步研究

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This paper involves the use of a compliant ankle rehabilitation robot (CARR) for the treatment of drop foot. The robot has a bio-inspired design by employing four Festo Fluidic muscles (FFMs) that mimic skeletal muscles actuating three rotational degrees of freedom (DOFs). A trajectory tracking controller was developed in joint task space to track the predefined trajectory of the end effector. This controller was achieved by controlling individual FFM length based on inverse kinematics. Three patients with drop foot participated in a preliminary study to evaluate the potential of the CARR for clinical applications. Ankle stretching exercises along ankle dorsiflexion and plantarflexion (DP) were delivered for treating drop foot. All patients gave positive feedback in using this ankle robot for the treatment of drop foot, although some limitations exist. The proposed controller showed satisfactory accuracy in trajectory tracking, with all root mean square deviation (RMSD) values no greater than 0.0335 rad and normalized root mean square deviation (NRMSD) values less than 6.7%. These preliminary findings support the potentials of the CARR for clinical applications. Future work will investigate the effectiveness of the robot for treating drop foot on a large sample of subjects.
机译:本文涉及使用兼容的脚踝康复机器人(Carr)来治疗幼脚。通过采用四个Festo流体肌肉(FFMS),机器人具有生物启发设计,该肌肉(FFMS)模仿致动三个旋转自由度(DOF)的骨骼肌。在联合任务空间中开发了一个轨迹跟踪控制器,以跟踪末端执行器的预定义轨迹。通过基于逆运动学控制各个FFM长度来实现该控制器。三名患者跌幅参与初步研究以评估临床应用的CARR的潜力。沿脚踝背屈和跖射(DP)的脚踝伸展锻炼以治疗滴脚。虽然存在一些局限性,但所有患者均在使用该踝部机器人进行阳性反馈,以便治疗跌幅。所提出的控制器在轨迹跟踪中显示出令人满意的精度,所有根均方偏差(RMSD)值没有大于0.0335的RAD和归一化的根均线偏差(NRMSD)值小于6.7%。这些初步调查结果支持CARC的临床应用。未来的工作将研究机器人在大量对象样本上治疗脚的效果。

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