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Quantifying Human Autonomy Recovery During Ankle Robot-Assisted Reversal of Foot Drop After Stroke

机译:在中风后踝部机器人辅助逆转期间量化人类自主恢复

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In this paper, we present a measure to quantify the profile of human autonomy recovery during ankle robot-assisted locomotor training to reverse foot drop after hemiparetic stroke. Underlying this kinetic-based measure is the estimation of the human ankle torque contribution during dynamic (step-by-step) patient-robot interaction, by measuring the device peak torques that meet desired design criteria across gait cycles. As with our previous clinical trials with the ankle robot, we employ an adaptive control approach for a six-week treadmill intervention in chronic stroke patients with well-defined ankle deficits. Here, we provide the first evidence of ankle robot-mediated changes in human autonomy index (HAl) and assess the worthiness of the HAI to predict changes in key volitional ankle neuromotor and whole-body functional gait outcomes. We also propose ways to incorporate the HAl into practice, including a model to customize the duration of robotic therapy for each patient based on minimally acceptable improvements in outcome measures.
机译:在本文中,我们展示了一种措施,以量化踝关节机器人辅助运动训练期间人类自主恢复的轮廓,以在血红石中风后反转脚下滴。基于动力学的措施是基于动态(逐步)患者机器人交互期间的人踝扭矩贡献的基础,通过测量跨越步态周期的所需设计标准的装置峰值扭矩来估计人体脚踝扭矩贡献。与我们以前与脚踝机器人的临床试验一样,我们采用自适应控制方法,为六周跑步机中的慢性中风患者患者进行了定期定义的踝关节缺陷。在这里,我们提供了踝关节机器人介导的人类自主指数(HAL)变化的第一种证据,并评估海的价值,以预测关键的激发性踝神经电池和全身功能步态结果的变化。我们还提出了将SHAR纳入实践的方法,包括基于结果测量的最小可接受的改进来定制每个患者的机器人治疗持续时间的模型。

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