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

Pending Publication Date: 2020-05-05
ZHEJIANG UNIVERSITY OF MEDIA AND COMMUNICATIONS
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Problems solved by technology

Moreover, compared with local geometric analysis, traditional network topology analysis is difficult to conduct quantitative research due to the loss of a large amount of detailed information

Method used

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  • Task-state electroencephalogram signal analysis method based on algebraic topology
  • Task-state electroencephalogram signal analysis method based on algebraic topology
  • Task-state electroencephalogram signal analysis method based on algebraic topology

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Embodiment Construction

[0031] Attached below figure 1 and example, the detailed description of the specific process is done to the embodiment of the present invention, and the effectiveness of the present invention will be more obvious:

[0032] In order to verify the universality of the present invention, the international open data is used as an example. Specifically, the data of Group 2a of the 4th Brain-Computer Interface Competition is selected, that is, the EEG data of the imaginary movement task.

[0033] (1) carry out 5-40Hz band-pass filter to EEG signal data, preferably the EEG signal that 6-14Hz obtains is Among them, N is the data length, and M is the number of electrodes for collecting EEG signals;

[0034] (2) Hilbert transform is performed on the signal of each electrode to obtain H(X);

[0035] (3) Calculate the instantaneous phase of each electrode

[0036] (4) Calculate the coherence matrix between electrodes in, PLV(p,q) is the coherence coefficient between electrodes p ...

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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.

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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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/0476A61B5/00
CPCA61B5/725A61B5/7264A61B5/316A61B5/369
Inventor 刘畅俞定国马小雨王娇娇
Owner ZHEJIANG UNIVERSITY OF MEDIA AND COMMUNICATIONS
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