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EEG (electroencephalogram) signal phase synchronous measuring and coupling characteristics extraction and signal identification method

A technology of phase synchronization and measurement method, which is applied in diagnostic recording/measurement, medical science, sensors, etc., and can solve problems such as extracting a single EEG signal amplitude or phase without comprehensively considering multiple features

Active Publication Date: 2016-11-09
SOUTHEAST UNIV
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  • Application Information

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Problems solved by technology

Most of the existing feature extraction methods extract a single EEG signal amplitude or phase feature, without comprehensive consideration of multiple features

Method used

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  • EEG (electroencephalogram) signal phase synchronous measuring and coupling characteristics extraction and signal identification method
  • EEG (electroencephalogram) signal phase synchronous measuring and coupling characteristics extraction and signal identification method
  • EEG (electroencephalogram) signal phase synchronous measuring and coupling characteristics extraction and signal identification method

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Embodiment Construction

[0038] Below in conjunction with embodiment the present invention will be further described.

[0039] Let the instantaneous phase difference of two EEG signal time series x and y at the kth time point be Δθ k , where k=1,...,d, d is the number of sampling points for collecting EEG signals in a single experimental trial. The phase synchronization measuring method of EEG signal among the present invention is called PLSR algorithm again, comprises the following steps:

[0040] a) Will |sin(Δθ k )|(k=1,...,d) sort the non-zero values ​​in ascending order, and get |sin(Δθ corresponding to different sampling points k )| rank, denoted as R(|sin(Δθ k )|). R(|sin(Δθ k )|) means a non-zero value |sin(Δθ k )|order in this ascending sequence, such as |sin(Δθ k )| order is i, then R(|sin(Δθ k )|)=i;

[0041] b) Construct the statistic T using the signed rank test + and T - :

[0042] T + = Σ sgn...

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Abstract

The invention discloses an EEG (electroencephalogram) signal phase synchronous measuring method, phase synchronous characteristics of EEG signals are extracted statistically, an EEG coupling characteristic extracting method is further disclosed, by using amplitude characteristics extracted by CSP algorithm and phase characteristics extracted by PLSR (partial least squares regression), super-vector serially-coupled amplitude-phase characteristics are acquired, an EEG signal identification method based on coupling characteristics is furthermore disclosed. Coupling characteristics are used as basis for the class identification of EEG signal characterizes, and therefore, movement-imaginary class identification results that are more stable and high in recognition. During neural activity, areas of brain are mutually coupled, and the invention has the advantage the action of noise influence is suppressed by weakening the influence of small-phase differential sample points.

Description

technical field [0001] The invention relates to the field of feature extraction and classification recognition of motor imagery EEG signals, specifically, a phase synchronization measurement method for EEG signals, a method for extracting coupling features of EEG signals, and an EEG signal identification method based on coupling features. Background technique [0002] The brain is the material basis of all advanced behaviors of human beings. It is composed of a large number of nerve cells, synapses and glial cells. These brain nerve cells are carrying out spontaneous, rhythmic and comprehensive electrical activities all the time. The generated electric field passes through the volume conductor After conduction, a potential distribution is formed on the scalp, and this potential signal with time characteristics as the axis is the electroencephalograph (EEG) signal. Using certain feature extraction methods, specific task-related features (features) in complex EEG signals can b...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/0476
CPCA61B5/7235A61B5/369
Inventor 王海贤李晓萌
Owner SOUTHEAST UNIV