Method for evaluating brain function network evolution of nerve deafness patients

Abstract

The invention discloses a method for evaluating brain function network evolution of nerve deafness patients, which comprises the following steps: S1, collecting EEG signal data of an inductive deafness patient in real time, and constructing a real-time brain function network according to the real-time EEG signal data; S2, on the basis of the real-time brain function network, constructing a brain function network evolution data chain which is arranged according to the time sequence of the real-time brain function network and comprises brain function network evolution characteristics of the nerve deafness patient; and S3, analyzing to obtain a brain function network evolution result of the nerve deafness patient based on the brain function network evolution data chain, and performing effective evaluation. According to the invention, function quantification of evolution overall features and evolution key features is carried out on the real-time brain function network, large-order-of-magnitude data transmission is reduced, and the evaluation efficiency of the brain function network is improved.

Description

technical field [0001] The invention relates to the technical field of medical diagnosis, in particular to a method for evaluating the evolution of brain function networks of neurological deafness patients. Background technique [0002] Analyzing brain function networks based on brain function data is of great significance to neuroscience research and medical diagnosis. Due to the unpredictability of multi-subject data, the independent component analysis of multi-subject data is a great challenge. The main difficulty lies in how to establish correspondence between the brain function networks of multi-subjects to facilitate subsequent statistical analysis, while maintaining the individual subject’s Specificity of brain functional networks to facilitate individual diagnosis. [0003] At present, there are two types of evolutionary analysis methods using independent component analysis (ICA) for multi-subject data. Correspondence was established for independent components from...

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Problems solved by technology

[0004] The purpose of the present invention is to provide an evaluation method for the evolution of the brain function network of patients with neurological deafness, so as to solve the problem that the low timing resolution of EEG signal acquisition in the prior art will generate a large amount of redundant data, and at the same time, use the brain function network to evolve During the analysis process, the direct transmission of signal data is used to compare and evaluate the evolution results, while the transmission of large-scale data and a large number of redundant data processing will occupy huge hardware computing resources, resulting in technical problems of reduced efficiency

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