Multi-user neural feedback training method and multi-user neural feedback training system

A training system and training method technology, applied in medical science, sensors, diagnostic recording/measurement, etc., can solve the problems of undisclosed multi-person neurofeedback training, and achieve the effect of changing cognition and behavior

Active Publication Date: 2013-04-24
BEIJING NORMAL UNIVERSITY
View PDF7 Cites 11 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, in the prior art, relevant information for multi-person neurofeedback training has not been disclosed

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Multi-user neural feedback training method and multi-user neural feedback training system
  • Multi-user neural feedback training method and multi-user neural feedback training system
  • Multi-user neural feedback training method and multi-user neural feedback training system

Examples

Experimental program
Comparison scheme
Effect test

no. 1 example

[0060] In this embodiment, two users train each other to compete with each other through a game of mental tug-of-war. During the completion of the training task, the user performs intellectual tug-of-war by observing the game screen on the display device 3 . Such as figure 2 The game interface shown includes vertical bar graphs on both sides representing the neural activity intensity of the two users, wherein the height of the vertical bar graph is used to represent the user’s neural activity intensity value. A rope with a ribbon in the middle of the root. When the neural activity intensity of two users is equal, the difference in neural activity intensity is close to zero. The ribbon is in the middle of the rope. At this time, the neural activity of the two users is more interactive. Strong; when there is a large difference in the intensity of neural activity between two users, and the difference in intensity of neural activity is positive or negative, the position of the r...

no. 2 example

[0065] In the first embodiment, the training of competition between two users is taken as an example for illustration, and in the second embodiment, the training of cooperation ability between two users is described as an example. exist Figure 7 In the game interface shown, the black ball advances from bottom to top, and the curve below the ball is the trajectory of the ball. In this embodiment, the difference between the neural activity strengths of the two users is still used as the interactive indicator of brain neural activity. When the ball is in the part between the two dotted lines, it means that the users have high neural interaction with each other. And the closer to the midline position, the higher the neural interaction; the farther the ball deviates from the midline, the lower the neural interaction between users. During the training process, users are required to change their own brain nerve activity through mental imagination, improve the interaction of nerve a...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a multi-user neural feedback training method and a multi-user neural feedback training system. The multi-user neural feedback training system comprises at least one brain imaging device, a central processing unit and a plurality of display devices, the brain imaging device is used for acquiring neural activity data of a plurality of users and transmitting the acquired neural activity data to the central processing unit, the central processing unit is used for analyzing the neural activity data by combining training tasks to obtain brain neural activity interactivity indexes of all users and transmitting the brain neural activity interactivity indexes to the display devices, and the display devices are used for displaying feedback information to the users. The users can adjust a training strategy according to the feedback information so that neural activity interactivity among the users can be trained to develop towards a target pattern, behavior consistency among the multiple users can be trained, interpersonal relationship can be adjusted, and interpersonal cognition and behavior of the users can be changed.

Description

technical field [0001] The present invention relates to a neurofeedback training method, in particular to a training method that collects the brain nerve activities of multiple people, analyzes the interactivity of the brain nerve activities online, and feeds back the results to users so that they can adjust their own brain nerve activities. method, the present invention also relates to a multi-person neurofeedback training system. Background technique [0002] Individual neurofeedback (that is, single-person neurofeedback) is to collect the brain neural activity of a single individual online and feed it back to itself, so that it can autonomously adjust the brain activity and achieve the purpose of changing its cognition and behavior. By intervening in specific brain functions of individuals, the treatment and rehabilitation of patients with brain diseases can be achieved, or the cognitive abilities (such as learning, memory, movement, etc.) of healthy people can be improve...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/0476A61B5/055A61B5/00
Inventor 朱朝喆段炼刘伟杰
Owner BEIJING NORMAL UNIVERSITY
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products