The Research On The Application Of Recursive Quantitative Analysis In Audiovisual EEG Signal

The brain,as the most complex organ in the body,has powerful functions.The study of brain science can be used to recognize the brain,reveal the nature of brain function and diagnose,treat,and prevent related brain diseases.Eventually though artificial intelligence to create the brian to stimulate the potential function of the brain.In the process of cognizing of the world through the information integration of multi-sensory channels,vision and audition are the two most important sensory channels.The study of their integration effect is of great significance for human beings to understand themselves,diagnose and repair dysfunctions.At the same time,the integration of multiple senses offers possibilities for the further development of artificial intelligence.Therefore,in this paper,the features of audio-visual EEG signals are studied by recursive quantitative analysis based on order recurrence plot,and analyze their integration effects.The main work is as follows:First of all,a comprehensive overview of relevant research at home and abroad is provided for the research topics.And analyzed the generation,characteristics and classification of EEG signals.In addition,several commonly used methods for EEG signal preprocessing and several methods for EEG signal analysis are introduced in detail.Secondly,the classic wavelet transform method in time-frequency analysis and the recursive quantitative analysis method of order recurrence plot in nonlinear analysis are introduced in detail.It also makes theoretical changes to the symbolized spatial state storage in the order recurrence plot,which saves the data processingtime and storage space.In order to further analyze the two methods,the two groups of subjects in the normal and alcoholic groups used these two methods for feature extraction of EEG signals.Two groups of subjects were classified by SVM.Comparing the advantages and disadvantages of the two methods in feature classification based on the sensitivity,specificity and correctness rate.The result verifies that the RQA of the order recurrence plot of nonlinear analysis method is feasible and effective for the feature extraction of EEG signals.Finally,in order to study the effect of multi-sensory channel information integration,through the experimental design,EEG data acquisition,EEG signal preprocessing,the EEG signals in the visual and auditory task stimulation paradigm are displayed in order recurrence plot to reveal their phase space,and through quantization Parameters quantify their changes.The experimental results show that the audio-visual sensory channel has the function of enhancing and hindering in the process of information integration,and different external stimuli bring different integration effects.