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Self-adaptive EEG signal ocular artifact automatic removal method

A technology of EEG signal and electrooculogram artifacts, applied in the field of bioinformatics, can solve problems such as manual screening, and achieve the effect of automatically removing electrooculogram artifacts

Inactive Publication Date: 2011-09-14
BEIJING UNIV OF TECH
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Problems solved by technology

The invention solves the problem of manual screening of empirical modal components containing electrooculogram artifacts, thereby achieving the purpose of automatically removing electrooculogram artifacts from electroencephalogram signals

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  • Self-adaptive EEG signal ocular artifact automatic removal method
  • Self-adaptive EEG signal ocular artifact automatic removal method
  • Self-adaptive EEG signal ocular artifact automatic removal method

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Embodiment Construction

[0051] The complete process of signal processing of the HHT-based EEG artifact removal method includes the following four (1.2.3.4) parts. Among them, the first part is the existing method, and the characteristics of the application of the present invention include three (2.3.4) parts:

[0052] The complete process of signal processing is as follows: figure 1 shown.

[0053] 1. Empirical Mode Decomposition (EMD) of EEG signals.

[0054] The EEG signal X(t) is a non-stationary signal. In order to study its transient characteristics, empirical mode decomposition (EMD) must be carried out to obtain each IMF component c i (t) and the remainder r(t).

[0055] Among them, i is the number of decomposed IMF components, i is completely driven by data, and the value of i is completely determined by X(t). For different X(t) signals, the number of decomposed IMF components i is Different, this point also reflects the adaptability of EMD decomposition. This is different from wavelet t...

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Abstract

The invention provides a self-adaptive EEG signal ocular artifact automatic removal method, which belongs to the technical field of biological information and is mainly used in a pretreatment process for acquiring an EEG signal. The method comprises: performing real-time empirical mode decomposition (EMD) of collected EEG data having ocular artifacts; performing Hilbert transform of all obtained mode components to obtain a instantaneous frequency; according to the time-frequency property of the ocular artifacts in the EEG signal and the statistical property of the empirical mode components, performing the threshold filtering of all obtained mode components; and performing data reconstruction by using all mode components obtained after filtration. The method solves the manual screening problem of the empirical mode components having the ocular artifacts, thereby automatically removing the ocular artifacts from the EEG signal.

Description

Technical field: [0001] The present invention relates to the technical field of biological information, in particular to the collection and preprocessing technology of electroencephalography (Electroencephalography, EEG). Specifically, it relates to an automatic removal technology of electrooculography (EOG) in EEG signals based on Hilbert-Huang Transform (HHT). Background technique: [0002] The analysis and research of EEG signals play a very important role in neuroscience, psychology, biomedicine and other fields. However, the EEG signal is a very weak electrophysiological signal, which is easily affected by various types of interference sources during the acquisition process. EEG interference has caused great difficulties in the analysis of EEG signals, especially hindering the computer automatic analysis and diagnosis of EEG signals. Therefore, how to effectively detect and eliminate various interference components in EEG to extract true and reliable EEG information p...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): A61B5/0476G06F19/00
Inventor 李明爱杨林豹林琳杨金福阮晓钢左国玉
Owner BEIJING UNIV OF TECH
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