Task-state electroencephalogram signal analysis method based on algebraic topology

An EEG signal and algebraic topology technology, applied in complex network analysis technology in the field of neural signal processing, can solve the problems of missing detailed information, difficult quantitative research, etc., to achieve the effect of promoting development and good performance
CN111096743APending Publication Date: 2020-05-05ZHEJIANG UNIVERSITY OF MEDIA AND COMMUNICATIONS
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Patent Information

Authority / Receiving Office
CN ยท China
Patent Type
Applications(China)
Current Assignee / Owner
ZHEJIANG UNIVERSITY OF MEDIA AND COMMUNICATIONS
Publication Date
2020-05-05

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Abstract

The present invention discloses a task-state electroencephalogram signal analysis method based on algebraic topology and belongs to specific applications of a complex network analysis technology in the field of neural signal processing. The method comprises the following steps: using electroencephalogram signals as a data source, constructing distance relationship of electrodes at different spatial positions by calculating coherence between the electrodes, using the algebraic topology method to dynamically construct a simplex-based brain functional network, characterizing task-state electroencephalogram signal neural characteristics, further analyzing nature of the brain functional network by calculating Betti number and Euler's characteristic number, and realizing a quantitative study ofa brain function model of subjects under a task state. The task-state electroencephalogram signal analysis method is verified to perform well in the task-state electroencephalogram signal analysis, provides the new method for measuring neural responses in the task state, explores new rules and evidence for brain-like computing, thus can inspire artificial intelligence frameworks and specific algorithms design, etc., and promotes development of a new generation of artificial intelligence.
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Description

technical field

[0001] The invention relates to complex network analysis technology in the field of neural signal processing, in particular to a method for analyzing task-state EEG signals based on algebraic topology. Background technique

[0002] The new generation of artificial intelligence is an intelligent system based on big data and a combination of theories, technologies, and methods inspired by brain science-inspired brain-inspired intelligence mechanisms. With the development of brain imaging technology and the enhanced ability to collect neural data, it is critical to find new ways to analyze brain function data. The brain is a complex giant system composed of 14 billion to 16 billion neurons. The analysis of a single neuron can only explain the local information of the brain. Scientists have gradually realized that the behavior of the brain is determined by the interaction between various regions of the brain. Determined, resulting in brain science research based...

Claims

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