Feature extraction and classification method based on electroencephalogram signals

An EEG signal and feature extraction technology, applied in medical science, sensors, diagnostic recording/measurement, etc., can solve indirectness, relative lag, affect the overall condition of the disease, accurately grasp and timely intervention treatment, and cannot be used as an early diagnosis or risk warning measures, etc.

Active Publication Date: 2020-06-16
徐州市健康研究院有限公司 +1
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Problems solved by technology

Questionnaire does have certain reliability and validity for diagnosing functional mental illness, but because of its indirectness, relativity and hysteresis, it cannot be used as an early diagnosis or risk warning method, thus affecting the understanding of the disease. Comprehensive, accurate grasp and timely intervention treatment

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  • Feature extraction and classification method based on electroencephalogram signals
  • Feature extraction and classification method based on electroencephalogram signals
  • Feature extraction and classification method based on electroencephalogram signals

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Embodiment Construction

[0018] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be described in further detail below in conjunction with specific embodiments and with reference to the accompanying drawings.

[0019] like figure 1 As shown, a feature extraction and classification method based on EEG signals, through EEG signal acquisition, signal preprocessing, feature value extraction, analysis and judgment accuracy and sensitivity, a standard detection database is formed, which is used for abnormal EEG signals Judgment and processing, the specific steps are as follows:

[0020] (1) EEG signal collection

[0021] The EEG (electroencephalogram) EEG signal acquisition system collects the EEG signals induced by normal people and dementia patients (mild, moderate, and severe patients) by observing digital stimulation pictures of different colors. The EEG signal acquisition experiment process is divided into two parts: Three grou...

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Abstract

The invention discloses a feature extraction and classification method based on electroencephalogram signals. The method comprises the following steps: acquiring an electroencephalogram signal inducedby the stimulation picture through an EEG electroencephalogram acquisition system; carrying out denoising preprocessing on electroencephalogram signals by using a principal component analysis method,performing feature extraction on the preprocessed EEG electroencephalogram signals, performing sorting recursion analysis on a sorting recursion graph, obtaining the nonlinear feature parameter recursion rate and determinacy numerical values of the electroencephalogram signals, and establishing a database according to the range of feature values. According to the method, the electroencephalogramcharacteristics are extracted and analyzed from a brand-new angle, and the sensitivity and the accuracy are combined, so that the method can be used for EEG electroencephalogram analysis under different physiological states or different dementia degrees.

Description

technical field [0001] The invention relates to an electroencephalogram signal extraction technology, in particular to a feature extraction and classification method based on an electroencephalogram signal. Background technique [0002] The EEG signal is a comprehensive reflection of the activities of hundreds of millions of neurons in the cerebral cortex, which can more objectively reflect the physiological state of a person. The EEG signal is a random signal that is non-stationary and has a very complicated generation mechanism. How to extract brain signals more effectively? It is very important to identify and classify useful information in electrical signals. The processing and analysis of EEG signals has always been a difficult problem in the world, not only because of the non-stationarity of the signal, but also because of the diversity of the signal waveform. For some brain diseases, there is still no one or a series of inspection or laboratory methods for diagnosis,...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/0484A61B5/00
CPCA61B5/7235A61B5/4088A61B5/7203A61B5/316A61B5/378Y02A90/10
Inventor 唐玮张梅梅郝敬宾杨雅涵刘送永姜雨辰束云潇王帅
Owner 徐州市健康研究院有限公司
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