Embedded BCI Rehabilitation System for Stroke

In stroke rehabilitation, rehabilitation equipments can help with the training. But traditional equipments are not convenient to carry, which limits patients to use related rehabilitation techniques. To solve this kind of problem, a new embedded rehabilitation system based on brain computer interface(BCI) is proposed in this paper. The system is based on motor imagery (MI) therapy, in which electroencephalogram(EEG) is evoked by grasping motor imageries of left and right hands, then collected by a wearable device. The EEG is transmitted to a Raspberry Pie processing unit through Bluetooth and decoded as the instructions to control the equipment extension. Users experience the limb movement through the visual feedback so as to achieve active rehabilitation. A pilot study shows that the user can control the movement of the rehabilitation equipment through his mind, and the equipment is convenient to carry. The study provides a new way to stroke rehabilitation.