Multi-mode resting electroencephalogram data interference elimination and marking method and device

Abstract

The invention provides a multi-mode resting electroencephalogram data interference elimination and marking method and device. The method comprises the following steps of: when determining that limb movement data and myoelectricity data synchronously collected at this time in a resting state meet a first interference processing condition, performing eye movement interference elimination processing on the electroencephalogram data synchronously collected at this time in the resting state to obtain first target resting state electroencephalogram data; when determining that the limb movement data and the myoelectricity data meet a first interference marking condition, performing limb interference segment and myoelectricity interference segment identification on the electroencephalogram data to obtain second target resting state electroencephalogram data; and respectively storing the first target resting state electroencephalogram data and the second target resting state data as a first target resting state electroencephalogram data file and a second target resting state electroencephalogram data file. According to the invention, small actions such as chewing, swallowing, body and head twisting and the like can be automatically positioned and removed; and the influence of electro-oculogram on low-frequency-band resting electroencephalogram data acquisition can be automatically removed, so that high-quality resting state electroencephalogram data can be obtained.

Description

technical field [0001] The invention relates to the technical field of brain science research, in particular to a multimodal resting EEG data interference elimination and marking method and device. Background technique [0002] Resting state EEG is a kind of EEG experiment paradigm in which subjects sit in front of the screen with their eyes open or closed, and extract the power spectrum, brain network connection, microstate, etc. of the resting state EEG signal. It can identify various mental disorders such as depression and schizophrenia. Therefore, how to obtain high-quality resting-state EEG signals is particularly important. [0003] Existing methods obtain resting-state EEG signals by setting threshold points in time-domain data to remove strong interference signals, or by using independent component analysis to remove regular interference signals such as blinking and heartbeat. [0004] Since the existing methods can only remove the high-frequency interference signa...

AI Technical Summary

Problems solved by technology

[0005] The present invention provides a multi-modal resting EEG data interference elimination and marking method and device to solve the defect in the prior art that the low-frequency interference signals generated by the subject's slight movements or irregular movements cannot be filtered out, and realize Automatically mark and remove low-frequency interference signals generated by subjects' slight movements or irregular movements

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