EEG Brain-Machine Interface Control of an Upper-Limb Robotic Exoskeleton for Robot-Assisted Rehabilitation After Stroke

The goal of this study is to develop a clinically feasible, low-cost, nonsurgical neurorobotic system for restoring function to motor-impaired stroke survivors that can be used at the clinic or at home. Moreover, another goal is to understand how physical rehabilitation assisted by robotic device combined with electroencephalograph (EEG) can benefit adults who have had stroke to improve functions of their weaker arm. The proposed smart co-robot training system (NeuroExo) is based on a physical upper-limb robotic exoskeleton commanded by a non-invasive brain machine interface (BMI) based on scalp EEG to actively include the participant in the control loop . The study will demonstrate that the Neuroexo smart co-robot arm training system is feasible and effective in improving arm motor functions in the stroke population for their use at home.The NeuroExo study holds the promise to be cost-effective patient-centered neurorehabilitation system for improving arm functions after stroke.