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Method for eliminating EEG signal noise artifact

A technology of EEG signals and artifacts, applied in medical science, sensors, diagnostic recording/measurement, etc., can solve problems such as inability to obtain independent components and increased algorithm complexity

Active Publication Date: 2018-12-18
DONGHUA UNIV
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Problems solved by technology

Since the independent components decomposed by the ICA method are independent of each other, ICA can be used to separate the eye artifact from the EEG signal, thereby eliminating the eye artifact, but a series of improvements in ICA and ICA Methods, such as second-order FastICA and third-order FastICA, etc., when processing EEG signals with more electrode leads, that is, when there are more independent components to be separated, the complexity of the algorithm will increase, and when each independent component is obtained, the algorithm Need to rely on the setting of the initial separation vector, especially the algorithm sometimes does not converge and cannot obtain all independent components

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  • Method for eliminating EEG signal noise artifact

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Embodiment 1

[0171] A method for removing noise artifacts of EEG signals. First, use NeurOne EEG acquisition equipment to collect four types of motor imagery EEG signal data X of two subjects. Each EEG signal sample is composed of 60 electrode leads. The signal is composed of signals, the signal sampling frequency is 250Hz, and each sample is collected for 4s, so the size of an EEG signal sample X is 60×1000. The collected EEG signals include each type of EEG signal with noise artifacts and EEG signals without noise artifacts. The real EEG signal with noise artifacts is as follows: Figure 4 As shown, the real EEG signal image without noise artifacts is shown as Figure 5 As shown, and then remove the EEG signal noise artifacts according to the previous steps, as follows:

[0172] (1) Carry out 4 layers of wavelet transform to EEG signal X, then the frequency range of each subband of the fourth layer is as shown in Table 1;

[0173] Table 1 Frequency range of each subband in the fourth l...

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Abstract

The invention relates to a method for eliminating an EEG signal noise artifact. The method comprises the steps of performing independent component separation on an EEG signal after denoising processing, then selecting an independent component with an artifact, and finally reconstructing the independent component which does not comprise the artifact for obtaining the EEG signal after noise artifactelimination, wherein independent component separation is based on an improved five-order FastICA algorithm. The improvement of the method is characterized in that an improved updating formula is usedfor updating the separated vectors and the relaxation factor of the independent component; and the independent component which comprises the artifact is selected based on a multi-domain adaptive threshold signal selecting method. According to the method for eliminating the EEG signal noise artifact, not only can a plurality of ocular artifacts be automatically identified and eliminated, but alsoa large amount of EEG information can be reserved. Furthermore the method can well improve the signal-to-noise ratio of the EEG signal and reduce the mean square error of the signal.

Description

technical field [0001] The invention belongs to the field of electroencephalogram signal preprocessing, and relates to a method for removing noise artifacts of electroencephalogram signals. Background technique [0002] Electroencephalogram (EEG) is a bioelectrical signal generated by brain nerve cells that reflects brain activity. With the development of computers and sensors, EEG signals can already be obtained through related equipment without invading the human body, so EEG signals are playing an increasingly important role in scientific research and disease diagnosis. However, the EEG signal has the characteristics of nonlinearity, non-stationarity and strong randomness, and is easily interfered by various noises in the process of collecting the signal, such as oculogram, electrocardiogram, myoelectricity and power frequency, etc., so , the collected EEG signal contains a variety of noise artifacts. As a common artifact, electro-oculogram artifacts include horizontal ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/0476
CPCA61B5/7203A61B5/369
Inventor 郝矿荣张宪法蔡欣唐雪嵩
Owner DONGHUA UNIV
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