Exoskeleton based Stroke Rehabilitation with Augmented Reality
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abstract
The intent of this proposal is to perform state-of-the-art research on exoskeleton based rehabilitation of stroke patients as well as those affected by similar diseases using a novel integrated motion planning and control architecture. The proposed effort will combine inputs from surface electromyography (sEMG), electroencelography (EEG) and visual field monitoring/eye tracking to develop an advanced, predictive model of motor intention. This model will enable accurate control of the robotic assistive/exoskeleton device to enhance the impact of the rehabilitation process in activities of daily living (ADL) therapy. In addition, the proposed effort will incorporate an augmented reality (AR) methodology to enable the patient to focus on the task as opposed to being distracted by the presence of a robotic device. The project team includes experts in robotics, motion planning and control as well as rehabilitation technologies. In addition the project team enlists the support of clinicians from Hamad Medical Center in Qatar to performed clinical evaluations of the proposed approach via standard metrics used in rehabilitation. The results of this effort are expected to include not only a novel methodology for exoskeleton based rehabilitation but also operational guidelines that can in principle be used in clinical setting in Doha and elsewhere.
