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.
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[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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