Psychological state judgment method and system based on EEG energy clustering analysis

Abstract

The invention discloses a psychological state judgment method based on EEG energy clustering analysis, and a corresponding system thereof. The method comprises the following steps: (10) EEG collection: collecting EEGs under different psychological emotional states; (20) signal preprocessing: preprocessing the EEG; (30) energy data acquisition: computing the energy of the delta wave, the theta wave, alpha wave and beta wave in the specific psychological states; (40) energy clustering center computation under different psychologies: computing the EEG energy clustering centers under different psychological emotional states through the clustering analysis algorithm; (50) current psychology energy computation: collecting the EEG under the current psychological emotional state and computing theEEG energy; (60) current phycology judgment: computing the distance between the current EEG energy and the EEG energy clustering center, and judging the current psychological emotional state. Throughthe psychological state judgment method and system disclosed by the invention, the psychological state can be accurately judged by determining the quantitative state of the EEG and the psychological state.

Description

technical field [0001] The invention belongs to the technical field of electroencephalogram signal measurement and psychometric devices, in particular to a method and system for judging a mental state based on cluster analysis of brain wave energy. Background technique [0002] Related studies have shown that the use of EEG (Electroencephalography) can directly reflect the activity state of the brain, and EEG has become an important basis for evaluating changes in the central nervous system widely used in brain activity research. [0003] EEG signals can be decomposed into four basic rhythms as shown in Table 1, namely delta waves, theta waves, alpha waves and beta waves. [0004] Table 1 Basic rhythm of EEG signal [0005] [0006] The energy of these 4 rhythms varies with the activity of the brain. When the α wave and β wave are dominant, it indicates that the person's consciousness is awake and the brain is active; while when the θ wave and δ wave are dominant, it in...

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Problems solved by technology

[0007] At present, the research on EEG signals is mainly concentrated in the fields of brain wave learning and brain wave control, and there are few researches on the cluster analysis of brain waves in different mental states, which leads to the inability to accurately determine the relationship between brain waves and mental states. Quantitative relationship, it is difficult to accurately predict and judge the mental state

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