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

A. Roy, Christopher Chornay, L. Forrester, C. Hafer-Macko, R. Macko
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引用次数: 3

Abstract

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.
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量化在踝关节机器人辅助的中风后足下垂逆转过程中人类自主性恢复
在本文中,我们提出了一种方法来量化在踝关节机器人辅助运动训练中人类自主性恢复的情况,以逆转偏瘫中风后的足下垂。这种基于动力学的测量方法是通过测量满足步态周期所需设计标准的设备峰值扭矩,来估计动态(逐步)患者与机器人交互过程中人类踝关节扭矩的贡献。与之前踝关节机器人的临床试验一样,我们采用一种自适应控制方法,对有明确踝关节缺陷的慢性中风患者进行为期六周的跑步机干预。在这里,我们提供了踝关节机器人介导的人类自主指数(HAl)变化的第一个证据,并评估了HAI在预测关键意志踝关节神经运动和全身功能步态结果变化方面的价值。我们还提出了将HAl纳入实践的方法,包括基于结果测量的最低可接受改善来定制每个患者的机器人治疗持续时间的模型。
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