A real-time human brain attention test and training system based on eeg

Abstract

The invention discloses a real-time human brain attention test and training system based on EEG. The system includes five parts: attention experiment, signal collection, data analysis, real-time transmission and test feedback. The attention experiment part is divided into system internal and external In the experiment, the signal acquisition part uses the EEG acquisition equipment to collect the EEG data of the user; the data analysis part uses the data analysis program to denoise, filter and analyze the relevant rhythm waves of the collected signal; the real-time transmission part analyzes the quantified value Save it for extraction at any time, and transmit it through the corresponding interface. The test feedback part uses the corresponding program to read the data of the real-time transmission part, and realizes the feedback through a visual interface. The present invention effectively combines EEG signals with attention levels and presents them in the form of diversified experiments, improves the fun of treatment and the sustainable time of treatment, and can effectively help people with attention deficits improve their attention levels .

Description

technical field [0001] The invention belongs to the comprehensive application of the fields of cognitive neuroscience, information technology and automatic control, and relates to a brain-computer interface (BCI) technology that uses the interaction between the human brain and a computer to test the user's attention level in real time and perform training for improvement. Background technique [0002] Electroencephalogram (Electroencephalograph, EEG) accompanies us all the time in our lives. It is the overall response of the spontaneous and rhythmic electrical activity of brain cell groups in the cerebral cortex and scalp, which can be detected by electrodes placed on the scalp. EEG can be divided into four rhythmic waves of δ, θ, α, and β according to different frequencies. Many foreign scholars and experts have found through a large number of experimental analyzes that the alpha band in the human brain wave is the main frequency of activity in the quiet and awake state. C...

AI Technical Summary

Problems solved by technology

[0005] Existing brain-computer interface patent technology is rarely applied to the human brain attention test, and the existing patent technology only involves the training of attention (such as the patent application number CN201020206845), the evaluation of attention under the driving environment ( Such as the invention whose application number is CN201410381256), the real-time testing and training system for human brain attention has not yet been disclosed by relevant patents

Images