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Method for automatically removing lower jaw interference from multi-channel electroencephalogram (EEG)

An EEG signal, multi-channel technology, used in medical science, diagnosis, diagnostic recording/measurement, etc., can solve problems such as poor EEG signal processing effect, and achieve the effect of accurate and scientific determination and stable waveform

Inactive Publication Date: 2017-01-04
小菜儿成都信息科技有限公司 +1
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  • Application Information

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Problems solved by technology

[0003] A variety of methods have been proposed for the removal of interference signals in EEG, and most of the traditional methods are limited to time domain or frequency domain analysis, such as Fourier transform, frequency domain energy analysis, etc., although signal noise reduction and Feature processing, but it is mostly suitable for analyzing stationary signals, and the effect of processing non-stationary brain wave signals is not good

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  • Method for automatically removing lower jaw interference from multi-channel electroencephalogram (EEG)
  • Method for automatically removing lower jaw interference from multi-channel electroencephalogram (EEG)
  • Method for automatically removing lower jaw interference from multi-channel electroencephalogram (EEG)

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Embodiment

[0039] figure 1 It is a flow chart of the method for automatically removing mandibular interference in multi-channel EEG signals of the present invention.

[0040] In this example, if figure 1 As shown, the automatic removal method of the mandibular interference in the multi-channel EEG signal of the present invention comprises the following steps:

[0041] (1), signal acquisition

[0042] Collect multi-channel EEG signal X, and use two auxiliary electrodes to collect the marker signal Jaw_clench of the jaw movement;

[0043] In this example, if figure 2 As shown, the data collection is Muse, a headband device that supports mind control invented by InteraXon, and the electrode placement adopts the international 10-20 system standard. Muse can collect EEG data of four channels TP9 (left ear), FP1 (left forehead), FP2 (right forehead) and TP10 (right ear), and also collect data such as Jaw_clench to identify the detection position of jaw movement.

[0044] (2), signal prep...

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Abstract

The invention discloses a method for automatically removing lower jaw interference from multi-channel electroencephalogram (EEG). A lower jaw action mark signal is recorded by two guide auxiliary electrodes while the EEG is required; each independent component, which is analyzed by performing fast ICA (independent component analysis) algorithm on the lower jaw action mark signal and the multi-channel EEG acquired by equipment, is compared; correlation analysis and calculation are performed, so that an independent source containing lower jaw action signal interference is automatically identified; the lower jaw interference signal in the independent source is removed; and finally the multi-channel EEG is acquired through reduction, so that the EEG with low relative pollution is acquired and the waveform is stable.

Description

technical field [0001] The invention belongs to the technical field of EEG signal processing and application, and more specifically relates to a method for automatically removing mandibular interference in multi-channel EEG signals. Background technique [0002] Electroencephalogram (electroencephalogram, EEG) is a potential phenomenon displayed on the surface of the cerebral cortex or scalp by the electrophysiological activity of brain nerve cells. means. However, the actual EEG signals collected by electrodes in the cerebral cortex are very weak, only at the microvolt level, and are often polluted by various interference components, especially myoelectric interference components. And because most of the EEG acquisition equipment in the experiment is worn by the experimenter on the head, the subject often has a slight movement of the neck or jaw, which will cause a large potential change in the brain wave, and the brain wave collected in the end The obvious mandibular myo...

Claims

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Application Information

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IPC IPC(8): A61B5/0476
CPCA61B5/7207A61B5/7235A61B5/369
Inventor 刘然李德豪田逢春邓泽坤徐苗贾瑞双刘明明
Owner 小菜儿成都信息科技有限公司
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