Design of a Rehabilitation Robotic System Based on Physiological Electrical Signals

This paper proposes the design of a rehabilitation robot for upper limb based on physiological electrical signals. The system uses surface electromyography (sEMG) and electroencephalography (EEG) signals to control robot's movements. has modular structure consisting mechanical hand, system, data acquisition system. STM32 microcontroller Bluetooth module real-time transmission control. collects sEMG EEG from user's arm head respectively, processes extract features controlling robot. also incorporates virtual reality provide more immersive engaging experience.