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

A technology for training systems and attention, applied in diagnostic recording/measurement, character and pattern recognition, pattern recognition in signals, etc., can solve problems such as no patents, and achieve improved attention, fun, and attention The effect of concentrated time

Active Publication Date: 2020-04-14
江苏瑞脑启智医疗科技有限公司
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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

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

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Embodiment Construction

[0025] The present invention will be described in detail below in conjunction with the accompanying drawings and specific examples.

[0026] The basic principle of the present invention is that when the user performs the attention experiment, the degree of concentration can be reflected by the rhythm wave in the EEG at this time. When the attention is concentrated, the θ brain electrical activity and the θ / β power ratio decrease, and the α and β activities increase. , so use multi-parameters to measure the EEG level as a whole, assign corresponding weights to each parameter, and finally quantify the attention level and give feedback. The specific analysis process will be described in detail in the data analysis section below.

[0027] The EEG-based real-time human brain attention test and training system proposed by the present invention includes the following parts: attention experiment part, EEG collection part, data analysis part, real-time transmission and test feedback pa...

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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...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F3/01G06N3/08G06K9/00A61B5/0476A61B5/16
CPCA61B5/168G06F3/015G06N3/084A61B5/7203A61B5/369G06F2218/02G06F2218/08
Inventor 黄丽亚蔡馥韩徐之豪丁王邓梅淇尹悦王武渠
Owner 江苏瑞脑启智医疗科技有限公司
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