Aiming at the drawback of low identification accuracy in single trial P300 feature extraction and classification

a parameter model method based on Matrix Grey Modeling to extract P300 feature was proposed to raise the recognition accuracy of the visual evoked potential P300 in single trial classification.Firstly

EEG signal was preprocessed

and then channel set selection was applied.After that

the model parameters of Matrix Grey Modelling for each epoch was connected as the feature vector and were input to the SVM classifier.The experimental results show that the average accuracy of single trial P300 across all the subjects is 91.43%

and the accuracy can be up to 97.87% if 3 times averaging is used.