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

机译:量化中风后脚踝机器人脚踝反转过程中的人类自主恢复能力

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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,我们提出了一种措施,可以量化在脚踝机器人辅助运动训练过程中人类自主恢复的特征,以恢复偏瘫性中风后的脚下降。这种基于动力学的测量的基础是,通过测量在整个步态周期中满足所需设计标准的设备峰值转矩,可以估算出动态(逐步)患者与机器人之间的交互过程中人体踝部转矩的贡献。与以前使用脚踝机器人进行的临床试验一样,我们采用自适应控制方法对患有明确脚踝缺陷的慢性卒中患者进行为期六周的跑步机干预。在这里,我们提供了脚踝机器人介导的人类自治指数(HAl)变化的第一个证据,并评估了HAI的价值,以预测关键的自愿性脚踝神经运动和全身功能步态结果的变化。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小可接受改进量身定制每位患者机器人治疗持续时间的模型。

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