Emotional state identification method based on electroencephalogram nonlinear features

A non-linear feature, state recognition technology, applied in medical science, psychological devices, sensors, etc., can solve problems such as poor recognition accuracy and complex technology

Active Publication Date: 2012-06-20
TIANJIN UNIV
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Problems solved by technology

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

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  • Emotional state identification method based on electroencephalogram nonlinear features
  • Emotional state identification method based on electroencephalogram nonlinear features
  • Emotional state identification method based on electroencephalogram nonlinear features

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Embodiment Construction

[0038] EEG is widely used in emotion research because of its high temporal resolution and simplicity. The research method proposed by the invention establishes the corresponding relationship between EEG nonlinear features and emotional levels, and identifies people's emotional states through the EEG nonlinear features.

[0039] The gist of the present invention is to propose a more objective emotional state identification method, which can provide a more objective evaluation method for the treatment evaluation of mental diseases (such as depression). The application objects are mainly patients with some special diseases, such as high blood pressure, coronary heart disease, etc. These patients should not have excessive mood swings, which may lead to death. In addition, in some special occasions, such as astronauts undergoing vacuum training, they may be in a small closed space for a long time, which may lead to some negative emotions. These special groups of people need to adj...

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Abstract

The invention belongs to the emotional state recognition technology and provides a more objective emotional state identification method and a more objective evaluation method for treatment evaluation of psychological illnesses. The technical scheme is that the emotional state identification method based on electroencephalogram nonlinear features comprises a data acquisition and data preprocessing step and a feature extraction and feature analysis and classification and recognition step. The data acquisition and data preprocessing step is that pictures are used for inducing emotions of an examinee, electroencephalogram signals of the examinee are recorded, and the acquired original electroencephalogram signals are preprocessed, and the processing includes the four steps of changing reference potential, downsampling, bandpass filtering and electro-oculogram removal. The feature extraction refers to extraction of power spectral entropy and extraction of relevant dimension, and after feature level integration of the two features of the extracted power spectral entropy and relevant dimension, a hidden markov model (SVM) or a hidden markov model (HMM) is used for distinguishing in classification mode. The emotional state identification method based on electroencephalogram nonlinear features is mainly applied to emotional state identification.

Description

technical field [0001] The invention belongs to the emotional state identification technology, and relates to an emotional state identification method based on the nonlinear characteristics of brain electricity. 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 fields are experiencing more and more emotional distress, and the incidence of various emotional-related diseases is incre...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/0476A61B5/16
Inventor 明东曾红梅马岚付兰綦宏志万柏坤
Owner TIANJIN UNIV
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