Amblyopia electroencephalogram objective and quantitative detection method

A quantitative detection method, EEG technology, applied in diagnostic recording/measurement, medical science, diagnosis, etc., can solve the problems of various amblyopia detection indicators and complicated means, and achieve visual fatigue, simple and fast operation, and strong applicability Effect

Active Publication Date: 2019-10-25
XI AN JIAOTONG UNIV
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The disadvantages of subjective psychophysical amblyopia detection indicators in the existing technology are various and the means are complicated

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
  • Amblyopia electroencephalogram objective and quantitative detection method
  • Amblyopia electroencephalogram objective and quantitative detection method
  • Amblyopia electroencephalogram objective and quantitative detection method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0026] The present invention will be described in detail below with reference to the accompanying drawings.

[0027] An objective quantitative detection method for amblyopia electroencephalogram, comprising the following steps:

[0028] 1) Design and implementation of binocular separation: 3D display and polarized glasses are used to realize binocular separation technology, so as to realize the difference of input information between eyes. 3D display can realize 3D display in left and right format, combined with polarized glasses, the visual information received by the left eye can be different from the visual information received by the right eye;

[0029] 2) Visually evoked stimulation paradigm: The method based on steady-state visual motor evoked potential (SSMVEP) is used to draw the periodic contraction and expansion motion of the paradigm pattern texture through MATLAB and Psychophysics Toolbox programming, which can stably stimulate SSMVEP, and users are not easy to vis...

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

An amblyopia electroencephalogram objective and quantitative detection method includes: realizing dichoptic viewing, designing a visual evoked stimulation pattern, setting up a brain-computer interface platform, testing an interaction interface, determining amblyopia electroencephalogram quantitative index, using inhibiting coefficient SI to describe a binocular inhibiting relation so as to quantify amblyopia degree, and feeding back an amblyopia detection result, wherein a computer interaction interface module presents the final amblyopia detection result to realize feedback to a user. The method is simple and quick in operation, high in suitability and objective and quantitative in index.

Description

technical field [0001] The invention relates to the technical field of brain-computer interface and central visual function inspection, in particular to an objective quantitative detection method of electroencephalogram for amblyopia. Background technique [0002] The global incidence of amblyopia is as high as 3%-5%, and its main symptom is that the corrected best visual acuity is lower than the normal value. Amblyopia is caused by the developmental defects of the visual center. The abnormal competition relationship between the eyes, especially the inhibitory relationship between the eyes, is the root cause of amblyopia defects. Existing subjective psychophysical amblyopia detection methods are complex and diverse, and cannot be directly detected from the fundamental visual center, so it is easy to miss the key repair period of amblyopia treatment. [0003] Brain-computer interface is a new type of human-computer interaction. Because it does not rely on human muscle tissue...

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): A61B5/0484A61B5/00
CPCA61B5/4005A61B5/378G16H40/63G16H50/20A61B5/161A61B5/6803A61B5/7264
Inventor 徐光华郑小伟王云云韩丞丞吴永程
Owner XI AN JIAOTONG UNIV
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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap