Control System Design of Manipulator Based on Motor Imagery Brain Computer Interface
Aiming at the problem of active training of patients with motor dysfunction caused by nerve injury,with portability and low cost as the design goal,a control system of manipulator based on the motor imagery brain computer interface was designed.First,a motor imagery experiment paradigm that can achieve two instructions was designed.Based on the MATLAB environ-ment,an online EEG signal processing system was developed.The upper computer was designed to read and send the EEG signal processing results,and the STM32 microcontroller was used as the lower computer to control the manipulator.Finally,3 healthy subjects were recruited to verify the feasibility of the system.The results show that the system can achieve accurate control of the manipulator,and the average accuracy of the3subjects is82.8%,which verifies the feasibility of the system.
NETL
NSTL
万方数据
维普
