Method and terminal equipment for extracting features from resting state EEG data

An EEG data and feature extraction technology, applied in the fields of medical science, diagnostic signal processing, sensors, etc., can solve the problem of low feature accuracy, and achieve the effect of improving effectiveness, reducing the amount of calculation, and reducing the impact of noise.

Active Publication Date: 2020-09-18
INST OF APPLIED MATHEMATICS HEBEI ACADEMY OF SCI +1
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] In view of this, the embodiment of the present invention provides a method and a terminal device for extracting features from resting-state EEG data to solve the problem of low accuracy of feature acquisition based on microstates in the prior art

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  • Method and terminal equipment for extracting features from resting state EEG data
  • Method and terminal equipment for extracting features from resting state EEG data
  • Method and terminal equipment for extracting features from resting state EEG data

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Embodiment Construction

[0021] In the following description, specific details such as specific system structures and technologies are presented for the purpose of illustration rather than limitation, so as to thoroughly understand the embodiments of the present invention. It will be apparent, however, to one skilled in the art that the invention may be practiced in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present invention with unnecessary detail.

[0022] In order to illustrate the technical solutions of the present invention, specific examples are used below to illustrate.

[0023] see figure 1 , an embodiment of the present invention provides a method for extracting features from resting-state EEG data, including:

[0024] S101: Obtain the EEG signal segment of the subject in a resting state, and calculate the global energy spectrum corr...

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Abstract

The invention is suitable for the technical field of EEG signal processing, and provides a method and apparatus for extracting features from resting state EEG data. The method comprises the followingsteps: obtaining a EEG signal segment of a subject in the resting state, and calculating a global energy spectrum corresponding to the EEG signal segment; determine a micro-state corresponding to eachtime point in the EEG signal segment according to the global energy spectrum to obtain a micro-state sequence; and using a sliding time window algorithm to describe the micro-state sequence, and using micro-states whose duration are greater than a first time threshold in a first micro-state sequence sub-segment as main features of the first micro-state sequence sub-segment to obtain a characteristic sequence, wherein the first micro-state sequence sub-segment is a micro-state sequence sub-segment described by the current sliding time window. The technical solution provided by the invention uses the sliding time window algorithm to describe the micro-state sequence, can improve the effectiveness of the obtained feature sequence, reduces the amount of calculation, and reduces the influenceof noises on the data.

Description

technical field [0001] The invention belongs to the technical field of electroencephalogram signal processing, and in particular relates to a method and terminal equipment for extracting features from resting state electroencephalogram data. Background technique [0002] EEG has good temporal and spatial resolution and is a powerful tool for people to study the brain. EEG microstates are quasi-stable periods of EEG topology in multichannel EEG, and resting-state EEG is dominated by a small number of alternating microstates. Due to the high reproducibility of microstates, EEG microstates, a neurophysiological tool, can be used to analyze various neuropsychiatric disorders, and to understand and evaluate the brain network dynamics of the subjects on the millisecond time scale. [0003] However, due to the complexity of the microstates corresponding to the EEG, obtaining the corresponding features directly from the microstates is easily disturbed by noise, and the calculation ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/0476
CPCA61B5/72A61B5/7225A61B5/726A61B5/7235A61B5/7264Y02D30/70
Inventor 冯春雨史玉盼王铭维马芹颖任维聪黎彤亮
Owner INST OF APPLIED MATHEMATICS HEBEI ACADEMY OF SCI
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