Bui Kevin D, Johnson Michelle J
Annu Int Conf IEEE Eng Med Biol Soc. 2018 Jul;2018:3618-3621. doi: 10.1109/EMBC.2018.8513091.
There is an increasing population of people living with both HIV and stroke around the world with no effective neurorehabilitation strategies to deal with the combination of physical, cognitive, and social impairment that result from both diseases. This gap is caused by a lack of tools that are able to assess the various impairments across the HIV-stroke spectrum. Rehabilitation robotics provide a potential approach to address this problem. In this study, we implement a motor and cognitive task on the Haptic TheraDrive, a single degree-of-freedom upper limb rehabilitation robot. We collect data on healthy and HIV-stroke subjects from both upper limbs. Our preliminary data show that mean performance error on a trajectory tracking task and total score and reaction time on the n-back task are metrics that show differences between HIV-stroke patients and a healthy population.
全球感染艾滋病毒且患中风的人数日益增加，但却没有有效的神经康复策略来应对这两种疾病所导致的身体、认知和社会功能障碍。这种差距是由于缺乏能够评估艾滋病毒-中风谱系中各种损伤的工具造成的。康复机器人技术提供了一种解决这一问题的潜在方法。在本研究中，我们在单自由度上肢康复机器人Haptic TheraDrive上实施了一项运动和认知任务。我们收集了健康受试者以及感染艾滋病毒且患中风的受试者双侧上肢的数据。我们的初步数据表明，轨迹跟踪任务中的平均性能误差、n-back任务的总分和反应时间这些指标显示出感染艾滋病毒且患中风的患者与健康人群之间存在差异。
