Motor Imagination Training And Image Interpretation Training EEG Signal Processing

The brain is a complex and huge system,its function and structure change with age,learning,training and environmental factors,that is,the brain has strong plasticity.In recent years,the theory of brain plasticity has been widely used in clinical and educational fields,and is of great significance to human life and learning.Based on this theory,this article has done the following:(1)According to the motor imagination experiment paradigm,this experiment collected the EEG data of 4 subjects for 6 experiments,analyzed the changes of EEG signals before and after training from the perspective of ERD/ERS phenomenon and brain synchronization,and classified the action pattern signals into two categories,The results showed that after five weeks of training,the spectrum range of the subjects’ EEG signals increased and the action duration became longer;the synchronization between brain regions related to movement(irrelevant)increased(decreased);the action patte.rn recognition rate reached about 95%.(2)Aiming at the problem of low accuracy and poor stability of motor imaging EEG signal classification,this article proposes a feature extraction method that combines complex brain networks and CSP.Firstly,calculate the phase synchronization relationship between channels according to the phase lock value;then select the optimal electrode and use CSP to extract its spatial characteristics;Secondly,construct a complex brain network and extract its small-world attribute features;Finally use SVM to classify the features.(3)Based on the OddBall experimental paradigm,this article collected the EEG data of 10 subjects for 10 times.This experiment mainly studies the brain-specific response information induced by the target image,analyzes the ERP component of the EEG signal and the synchronization of the brain area,and calculates the recognition accuracy of the EEG signal of the target image.Experimental results show that after 10 training sessions,most of the subjects can induce P2,N2 and P300 components,which are mainly distributed in the frontal and parieto-occipital areas of the brain;target image recognition accuracy rate reaches about 80%.