Bui Kevin D, Johnson Michelle J
Department of Bioengineering, University of Pennsylvania, Philadelphia, PA 19104.
Rehabilitation Robotics Lab, Department of Physical Medicine and Rehabilitation, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104.
Proc IEEE RAS EMBS Int Conf Biomed Robot Biomechatron. 2020 Nov-Dec;2020:910-915. doi: 10.1109/biorob49111.2020.9224275. Epub 2020 Oct 14.
The effects of HIV-related cognitive impairment on motor recovery after stroke are poorly understood. A barrier to understanding this is quantitative measures to assess both cognitive and motor function in a rehabilitation setting. In this paper, we present preliminary data collected from a sample of stroke and HIV-stroke subjects on robot-based metrics that relate to cognitive and motor clinical scores. Additionally, we explore representing the dominant and non-dominant limb performance in a single laterality index metric. Our results show that this is a feasible approach to stratifying stroke and HIV-stroke patients with varying levels of cognitive and motor impairment by functional level to develop more targeted neurorehabilitation strategies in the future.
人们对与HIV相关的认知障碍对中风后运动恢复的影响了解甚少。理解这一问题的一个障碍是在康复环境中评估认知和运动功能的量化措施。在本文中，我们展示了从一组中风患者和中风合并HIV患者样本中收集的初步数据，这些数据基于与认知和运动临床评分相关的机器人测量指标。此外，我们探索在单一的偏侧性指数指标中表示优势侧和非优势侧肢体的表现。我们的结果表明，这是一种可行的方法，可根据功能水平对认知和运动障碍程度不同的中风患者及中风合并HIV患者进行分层，以便未来制定更具针对性的神经康复策略。
