Electroencephalogram emotional state feature extraction method based on adaptive tracking in different frequency bands

Abstract

The invention belongs to emotional state recognition technology, and provides an electroencephalogram emotional state feature extraction method based on adaptive tracking in different frequency bands, which is a more objective emotional state recognition method and is a more objective evaluation method for therapy evaluation to mental diseases. The technical scheme includes that the electroencephalogram emotional state feature extraction method based on adaptive tracking in different frequency bands comprises following steps: data acquisition and preprocessing, time frequency feature extraction, adaptive frequency band selection and emotional state recognition; the specific data acquisition and preprocessing step comprises emotionally inducing a testee by the aid of emotional images and preprocessing acquired original electroencephalogram signals, and preprocessing comprises changing reference potential, reducing sampling, realizing bandpass filtering and removing electrooculogram; time-frequency change is realized for processed electroencephalogram signals by the aid of short time Fourier transform; and adaptive frequency band selection is realized by a frequency band variable adaptive tracking method, and an SVM (support vector machine) is used for realizing classification recognition for feature frequency bands. The electroencephalogram emotional state feature extraction method is mainly applied to recognizing emotional states.

Description

technical field [0001] The invention belongs to the recognition technology of emotional states, and relates to a feature extraction method of EEG emotional states based on self-adaptive tracking of divisible frequency bands. Background technique [0002] In 1872, Darwin pointed out in his book "The Expression of Humans and Animals" that emotion is an adaptation tool in the advanced evolutionary stage. Since then, people have begun to study emotion experiments and theories. After more than 100 years, the study of emotions flourished in the late 20th century and was combined with research on cognition, neuroscience, and brain science; its research methods are also diverse, such as brain electricity (EEG), functional magnetic resonance imaging (fMRI), etc. ), functional near-infrared imaging (fNIRI), etc. [0003] With the development of society, people of all ages and neighborhoods are experiencing more and more emotional distress, and the incidence of various emotional-relat...

AI Technical Summary

Problems solved by technology

[0004] Most of the existing technologies have deficiencies such as complicated technology and poor recognition accuracy.

Images