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

Luoluo Wang, Hui Yang, Junliang Chen, Jiexin Zhou. Design of a Rehabilitation Robotic System Based on Physiological Electrical Signals. Academic Journal of Computing & Information Science (2023), Vol. 6, Issue 5: 49-55. https://doi.org/10.25236/AJCIS.2023.060507.

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