EEG feedback training for upper-limb rehabilitation

Abstract

One benefit of using biofeedback treatment in stroke rehabilitation is the efficiency assistant for the patients to relearn to control their own bodies by themselves as well as encourages them to pay attention during rehabilitation process and improves their morale. This article proposes biofeedback system for upper-limb stroke rehabilitation that supports both planar and anti-gravity. The prototype system combines passive modalities with the active exercise to help patient relearn to control their joints in shoulder and muscles as much as possible. Electroencephalogram (EEG) based on ERD/ERS phenomena are employed to control our homemade prototype hardware for rehabilitation exercise. With our simple algorithm, the maximum of 96% accuracy can be obtained. Approximately 80% of the average classification accuracy can be achieved. © 2011 IEEE.