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A method for automatically detecting and removing artifacts from EEG signal

An EEG signal and automatic identification technology, applied in the fields of electrical digital data processing, medical science, diagnosis, etc., can solve problems such as inapplicability

Inactive Publication Date: 2006-12-27
FUDAN UNIV
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Problems solved by technology

But these two types of methods have disadvantages: the former requires manual intervention; the latter uses the correlation method on the premise that there is an EOG channel in the source signal, such as the horizontal EOG (HEOG) channel and the vertical EOG (VEOG) channel. , if the obtained EEG data does not contain the EOG channel, this method is not applicable
In addition, if the Kurtosis value is approximately zero, the sequence may be a noise signal

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  • A method for automatically detecting and removing artifacts from EEG signal
  • A method for automatically detecting and removing artifacts from EEG signal
  • A method for automatically detecting and removing artifacts from EEG signal

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Embodiment Construction

[0049] First, we give the calculation formulas of three nonlinear indices, assuming a time series x(t):

[0050] 1) Maximum Lyapunov exponent: construct an m-dimensional phase space, and the time delay is τ, then the attractor points can be written as {x(t), x(t+τ),…, x(t+(m-1)τ)} ; Let the point closest to the initial point be {x(t 0 ), x(t 0 +τ),...,x(t 0 +(m-1)τ)}, define L(t 0 ) is the distance between two points, then at t 1 At time, the initial length becomes L'(t 1 ), the average exponential growth factor per unit time of the relative distance between two initial infinitely close trajectories is the Lyapunov exponent, which can be written as:

[0051] λ = 1 t M - t 0 ∑ k = 1 M ...

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Abstract

The invention pertains to the EEG signal treatment technology field, in particular to a method for automatic recognizing and eliminating artefact component from EEG and extracting fundamental rhythm therefrom. The method separates artefact and fundamental rhythm like alpha wave from EEG signal by use of independent component analysis method, then conducts non-linear index analysis of all independent components, automatically recognizes the artefact therein and EEG fundamental rhythm to be extracted by a set value, finally setting the recognized independent component to zero and sending back the residual signal to electrodes of the original signals, thus the EEG signal free of artefact is obtained. The invention combines three kinds of non-linear index and can effectively obtain a relative pure EEG signal without artificial interference.

Description

technical field [0001] The invention belongs to the technical field of EEG signal processing, and in particular relates to a method for automatically identifying and removing artifact components in EEG signals without manual intervention, and can automatically extract the basic rhythm of EEG. technical background [0002] The EEG signal involved here is the change of brain potential recorded from the scalp, which reflects the characteristics of the electrical activity of the brain. EEG signals have been widely used in clinical diagnosis, human-machine interface research and many other fields. However, it is unavoidable that EEG signals often contain artifacts such as eye movement, blinking, myoelectricity, and heartbeat caused by the subject itself, as well as interference such as linear electrode noise caused by electrodes or external equipment. The existence of these artifacts greatly affects the accuracy of EEG signal analysis. Therefore, in order to obtain more accurat...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/0476G06F19/00
Inventor 卞宁艳王斌张立明曹建庭顾凡几
Owner FUDAN UNIV
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