DEVELOPMENT OF AN EEG AND sEMG WIRELESS SYSTEM FOR A ROBOTIC WALKER

This work proposes the development of an electroencephalography (EEG) and surface electromyography (sEMG) wireless system for a robotic walker. The goal is to validate its performance at the front-end channels through steady state visually evoked potential (SSVEP) and events-related desynchronization/ synchronization (ERD/ERS). The frequencies employed in the SSVEP are captured on the occipital region through FP1-O1 EEG electrodes. Furthermore, ERD/ERS pattern are obtained on the cortical motor areas through C3-FZ and C4-FZ electrodes during button movements with index finger of the right hand. In addition, the myoelectric activity (sEMG) of the peroneus longus muscle is obtained during ankle flexion-extensions. The front-end designed can be used to obtain motor patterns from the brain and muscle activities.