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Electroencephalogram signal processing method and epilepsy detection system

An electroencephalogram signal and processing method technology, applied in the field of biomedical signal processing, can solve problems such as lack of epilepsy detection system, and achieve the effect of reducing the number of features and improving efficiency and accuracy

Active Publication Date: 2019-03-08
SOUTHWEST UNIV
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Problems solved by technology

At present, there is no EEG signal processing method to select the optimal feature subset for the extracted features; there is currently no epilepsy detection system that can classify the EEG signals of healthy people and epilepsy patients in normal state and seizure period, so as to detect Find out whether the object has the attribute of epilepsy

Method used

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  • Electroencephalogram signal processing method and epilepsy detection system
  • Electroencephalogram signal processing method and epilepsy detection system
  • Electroencephalogram signal processing method and epilepsy detection system

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Embodiment Construction

[0082] It should be pointed out that the following detailed description is exemplary and intended to provide further explanation to the present application. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.

[0083] It should be noted that the terminology used here is only for describing specific implementations, and is not intended to limit the exemplary implementations according to the present application. As used herein, unless the context clearly dictates otherwise, the singular is intended to include the plural, and it should also be understood that when the terms "comprising" and / or "comprising" are used in this specification, they mean There are features, steps, operations, means, components and / or combinations thereof.

[0084] The Logistic Model Tree Classifier (LMT) is a classifier that combines a tree structure and a Logistic re...

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Abstract

The invention discloses an electroencephalogram signal processing method and an epilepsy detection system. The electroencephalogram signal processing method comprises the steps that data is preprocessed, wherein five electroencephalogram frequency bands are decomposed by performing discrete wavelet transformation on an electroencephalogram signal data set; a wavelet coefficient is solved; one electroencephalogram frequency band with the highest frequency is eliminated, the four remaining low-frequency frequency bands are reconstructed through reverse discrete wavelet transformation, a signal after high-frequency components are removed is obtained; time-domain features and entropy-based features are extracted from the signal obtained through reconstruction, and an alternative feature set isconstructed; the optimal feature subset is selected from the alternative feature set by using a feature selection method based on feature correlation. The electroencephalogram signal processing method has the effect of selecting the optimal feature subset by utilizing the improved feature selection method based on the feature correlation for the extracted features.

Description

technical field [0001] The present disclosure relates to the technical field of biomedical signal processing, in particular to an EEG signal processing method and an epilepsy detection system. Background technique [0002] The statements in this section merely enhance the background related to the present disclosure and may not necessarily constitute prior art. [0003] Epilepsy is a common chronic neurological disease. When the disease breaks out, the neurons in the patient's brain discharge abnormally, accompanied by transient brain dysfunction. Long-term frequent seizures can have a serious impact on the patient's body, mind and intelligence. Currently, diagnosing epilepsy relies primarily on a doctor's visual inspection of an EEG. Manual EEG detection is not only costly, but also often leads to misdiagnosis due to cumbersome steps and subjective differences. Therefore, it is necessary to design a method for feature extraction and classification of EEG signals, and to ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/0476
CPCA61B5/4094A61B5/369
Inventor 梅贞刘琪
Owner SOUTHWEST UNIV
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