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Method for detecting psychological stress based on EEG signals

A technology of psychological stress and detection method, applied in the field of EEG signal recognition

Pending Publication Date: 2020-11-20
北京脑陆科技有限公司
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  • Abstract
  • Description
  • Claims
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Problems solved by technology

[0004] The purpose of the present invention is to provide a psychological pressure detection method based on EEG signals to solve the situation that there is basically no psychological pressure detection through EEG signals on the market today.

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  • Method for detecting psychological stress based on EEG signals
  • Method for detecting psychological stress based on EEG signals
  • Method for detecting psychological stress based on EEG signals

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Embodiment Construction

[0039] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0040] Such as figure 1 As shown, the present invention provides a technical solution: a method for detecting psychological stress based on EEG signals, including a set of steps for collecting, transmitting, analyzing and discriminating psychological stress EEG signals, specifically in this embodiment:

[0041] Step 1: Collect EEG signals from the wearer by wearing the EEG signal collection device;

[0042] Step 2: Amplify and encode the collect...

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Abstract

The present invention discloses a method for detecting psychological stress based on EEG signals. The method comprises three parts of an EEG signal acquisition device, a special EEG signal analysis system and a psychological stress level module. A working principle is as follows: 1, brain wave signals of a wearer collected by using the EEG signal acquisition device are transmitted to the special EEG signal analysis system in real time; 2, the EEG signals are decoded and preprocessed and EEG signal power spectrum density characteristics of different psychological stress grades in a database arecalculated and extracted to establish a psychological stress EEG database; 3, a random forest algorithm is applied to establish a machine learning model to classify and train psychological stress oncharacteristic values of the different EEG signals; and 4, judging the psychological stress grades of the EEG signals transmitted from the EEG signal acquisition device according to a grading model. Adesign is conducted based on data characteristics of the EEG signals, a data model of the EEG signal characteristics corresponding to different psychological stress levels is established, and psychological stress of the wearer of the EEG signal acquisition device can be judged in real time.

Description

technical field [0001] The invention belongs to the technical field of EEG signal recognition, and in particular relates to a psychological pressure detection method based on EEG signals. Background technique [0002] The rapid development of today's society and changes in personal lifestyles may cause psychological pressure. Individuals who experience chronic psychological stress for a long time are prone to problems such as anxiety, depression, and cardiovascular disease; and those who exist under low or no psychological pressure for a long time can easily lead to the loss of life motivation and bring disappointment or depression. Studies have found that moderate psychological stress can promote the execution of individual cognitive functions and improve memory and other abilities. Therefore, monitoring and regulating psychological stress can help individuals objectively recognize their current level of psychological stress and make adjustments to improve life and health. ...

Claims

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Application Information

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IPC IPC(8): A61B5/16
CPCA61B5/165
Inventor 王晓岸卢树强韩越
Owner 北京脑陆科技有限公司
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