Magnetoencephalogram decoding method based on image features

A decoding method and image feature technology, applied in the field of signal processing, can solve the problem of low accuracy of brain decoding and classification

Pending Publication Date: 2021-03-05
西安慧脑智能科技有限公司
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Problems solved by technology

[0005] This application provides a magnetoencephalogram decoding method based on image features to solve the problem of low classification accuracy of brain decoding

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  • Magnetoencephalogram decoding method based on image features
  • Magnetoencephalogram decoding method based on image features
  • Magnetoencephalogram decoding method based on image features

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Embodiment Construction

[0030] A magnetoencephalogram decoding method based on image features, said method comprising:

[0031] S1: Obtain MEG data.

[0032] When decoding the magnetoencephalogram, it is first necessary to obtain the magnetoencephalogram data. The magnetoencephalogram data obtained in this application is not the magnetoencephalogram data at any time, but the magnetoencephalogram after signal stimulation. The brain activity after the signal stimulation is intensified, and it is easier to obtain magnetoencephalogram data. At the same time, different people will have different brain activities after receiving the same signal stimulation. According to the magnetoencephalogram data collected after the brain exercise, the brain activity of each person can be distinguished. What is the state of the brain, so that we can judge whether the brain is healthy or not.

[0033] S2: Preprocessing the MEG data to obtain primary MEG data.

[0034] Exemplarily, at 250HZ, 306 channels are used to sam...

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Abstract

The invention relates to the technical field of signal processing, in particular to a magnetoencephalogram decoding method based on image features. The method comprises the steps: giving a signal stimulation to the brain, obtaining the needed magnetoencephalogram data, carrying out the preprocessing of the magnetoencephalogram data, carrying out the spatial filtering of the magnetoencephalogram data, and obtaining the magnetoencephalogram data; the spatial filtering is used for reducing the dimension of the evoked potential, improving the signal-to-noise ratio of the evoked potential and further virtualizing the magnetoencephalogram data, the virtualized image is small in data volume during processing, the space-time dynamic process of magnetoencephalogram signals is considered in the formation of grids, that is, the spatial signals are arranged according to the time sequence, the classification precision is improved, and the classification efficiency is improved. Gist features are selected as image features of magnetoencephalogram decoding, due to the fact that the Gist features are biologically inspired features, a good effect is achieved in image classification, finally, a linear support vector machine classifier is adopted for classifying magnetoencephalogram signals, and the method solves the problem that in the prior art, precision is not high when magnetoencephalogram data are classified.

Description

technical field [0001] The present application relates to the technical field of signal processing, in particular to a magnetoencephalogram decoding method based on image features. Background technique [0002] Brain Decoding is a data analysis method based on concurrent neuroimaging data to predict a subject's mental state. The researchers provided the subjects with stimuli, such as visual cues, and recorded the associated brain activity from multiple sensors. The recorded data, along with the type of stimulus, is called an experiment. Many small experiments collected in one experiment. In the brain decoding analysis stage, a classifier is constructed using part of the data to predict the function of brain activity stimuli. The rest of the data is used to estimate the accuracy of the classifier. Classification with high accuracy is considered evidence of stimulus-related information in the data, which reveals the relationship between the mental process of interest and i...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/46G06K9/62
CPCG06V10/449G06F2218/08G06F18/2411G06F18/214
Inventor 王栋陈霸东汤超
Owner 西安慧脑智能科技有限公司
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