Towards Robot-Based Cognitive and Motor Assessment Across the HIV-Stroke Spectrum

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.