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Functional network analysis system and method for complex network

A network analysis, complex network technology, applied in the field of data processing and analysis, can solve the problem of high price of MRI examination

Active Publication Date: 2019-08-09
THE FIRST INST OF OCEANOGRAPHY SOA
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  • Abstract
  • Description
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  • Application Information

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Problems solved by technology

However, both BOLD and DTI signals with low temporal resolution cannot accurately reflect the functional mental activity of the brain generated by the actual event stimulus
Furthermore, MRI examinations are expensive

Method used

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  • Functional network analysis system and method for complex network
  • Functional network analysis system and method for complex network

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specific Embodiment 1

[0070] Here, the database analysis of brain wave data of 21 leads of Alzheimer's disease (AD) is taken as an application example. In the database, the subjects were divided into five groups according to age and degree of degeneration: young healthy control group, elderly healthy control group, mild cognitive impairment (MCI), moderate Alzheimer's disease patients (AD2) and patients with severe Alzheimer's disease (AD3). The tested samples were measured with a 21-conductor electroencephalogram in a resting state with eyes closed, and the sampling frequency was 200 Hz. in, image 3It is the brain wave measurement data of an elderly healthy control group under the resting state with eyes closed.

[0071] The brain wave data measured by each conduction electrode is disassembled into multiple intrinsic mode functions using an adaptive data decomposition method (empirical mode decomposition algorithm), such as Figure four It shows the ten intrinsic mode functions obtained by sel...

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Abstract

The invention provides a functional network analysis system and method for a complex network. The functional network analysis system includes a multiple signal source measuring unit, a self-adaptive signal disassembling functional unit and an inter-band coupling analysis unit, wherein the multiple signal source measuring unit, the self-adaptive signal decomposition functional unit and the inter-band coupling analysis unit are connected in sequence; the functional network analysis system further includes a functional network analysis unit, wherein the functional network analysis unit is connected with the inter-band coupling analysis unit. According to the functional network analysis system and method for the complex network, an empirical mode decomposition method is adopted to serve as a basis of data processing, so that the functional network analysis system and method are suitable for decomposition of non-linear and unstable data in the complex network, and dynamic characteristics offunctional network links among different frequency bands in the complex network can be reflected.

Description

technical field [0001] The invention belongs to the technical field of data processing and analysis, and in particular relates to a functional network analysis system and analysis method for complex networks. Background technique [0002] At present, the technology used to represent the functional network links of the brain is the first clinical imaging system using functional magnetic resonance imaging (fMRI). This system uses blood oxygenation in the cerebral blood flow level dependent, BOLD) or the Diffusion-weighted magnetic resonance imaging (DWI or DW-MRI) or Diffusion Tensor Images (DTI) to represent the functions in the brain sexual activity. However, both BOLD and DTI signals with low temporal resolution cannot accurately reflect the functional mental activity of the brain generated by the actual event stimulus. Furthermore, MRI examinations are expensive. Compared with magnetic resonance imaging technology, brain wave technology is a convenient, non-invasive tec...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/0476G06K9/62A61B5/374
CPCA61B5/369G06F18/2134A61B5/7264A61B5/7253A61B5/7246A61B5/4088A61B5/742A61B5/374
Inventor 叶家荣黄锷
Owner THE FIRST INST OF OCEANOGRAPHY SOA
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