Brain function monitoring management method integrating electroencephalogram and functional near infrared spectrum technology

Abstract

The invention provides a brain function monitoring management method integrating an electroencephalogram and functional near infrared spectrum technology. The brain function monitoring management method comprises the following steps that electroencephalogram and brain blood oxygen signals are synchronously collected; preprocessing for removing artifact interference is correspondingly carried out on the collected signals; an electroencephalogram-electroencephalogram coupling characteristic index MSMVTE, a cerebral blood oxygen-cerebral blood oxygen coupling characteristic index DFC and an electroencephalogram-cerebral blood oxygen coupling characteristic index CIF are correspondingly obtained; normalization processing is carried out on the index data to obtain a standardized coupling characteristic index; a Pearson's correlation coefficient ri and a significance coefficient pi between every two indexes are correspondingly calculated; and a brain function monitoring model is constructed, the correlation strength and the correlation significance degree among the coupling characteristic indexes are analyzed, and the brain function state is monitored and managed. According to the brain function monitoring management method integrating the electroencephalogram and functional near infrared spectrum technology, EEG and fNIRS technologies are fused, the advantages of space and time resolution of the EEG and fNIRS technologies are integrated, the neural mechanism of brain activities in the movement process of the brain can be deeply and comprehensively known, and effective management of brain function monitoring is achieved.

Description

technical field [0001] The invention relates to the technical field of EEG and functional near-infrared spectroscopy, in particular to a brain function monitoring and management method that integrates EEG and functional near-infrared spectroscopy. Background technique [0002] The brain is composed of different brain regions that are anatomically interconnected, functionally interconnected and independent, and have complex and precise characteristics. Brain activity is a very complex but well-controlled process, including the conduction of neuron electrical activity, blood oxygen supply brought by vascular transport, and the catabolism of substances such as glucose. Therefore, monitoring the state of brain functional activity is helpful to describe the complex dynamic behavior formed by the coupling between various brain regions, and is of great significance for revealing the mechanism of brain function regulation and information transmission. [0003] In the current study ...

AI Technical Summary

Problems solved by technology

However, the existing EEG-fNIRS correlation analysis is mainly based on the statistical correlation between EEG signal features and blood oxygen concentration parameters, and it is difficult to reflect the time-frequency local coupling effect of EEG-fNIRS

In addition, at present, the causal synchronization analysis between single-modal EE-EEG, fNIRS-fNIRS signal and cross-modal EEG-fNIRS signal is mainly carried out, and there is still a lack of comprehensive research on the relationship between these three indicators. Finding out the inner connection between the three can increase the understanding of the brain mechanism and help to realize the monitoring of brain function

Images