Motor imagery nerve response capability detection device based on behavior test

A neural response and motor imagery technology, applied in the field of motor imagery neural response, can solve the problems of time-consuming and labor-intensive potential users, MI-BCI cannot be applied to everyone, etc., and achieve the effect of rapid screening and overcoming high-cost defects

Active Publication Date: 2021-12-03
TIANJIN UNIV
View PDF9 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

But BCI illiteracy makes MI-BCI unsuitable for everyone
Screening potential users through traditional EEG experiments is time-consuming and labor-intensive

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
  • Motor imagery nerve response capability detection device based on behavior test
  • Motor imagery nerve response capability detection device based on behavior test
  • Motor imagery nerve response capability detection device based on behavior test

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0045] In order to make the purpose, technical solution and advantages of the present invention clearer, the implementation manners of the present invention will be further described in detail below.

[0046] In order to solve the problems existing in the background technology, the embodiment of the present invention designs a new behavior testing scheme and a detection analysis model, aiming at screening MI-BCI users efficiently, standardizedly and at low cost.

[0047] The technical solution implemented by the present invention is divided into two parts, the behavioral test for detecting the motor imagery nerve response ability and the neural response characteristic value detection based on the behavioral test result, and the behavioral test scheme is designed as follows: figure 1 As shown, it mainly includes: test instructions for explaining the test process and precautions; 3 sets of Purdue Pegboard Fine Motor Test and 3 sets of Imaginary Action Evaluation Scale Test, the t...

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 motor imagery nerve response capability detection device based on a behavior test, and the device comprises a test module and a multiple linear regression analysis module, wherein the test module is used for detecting the motor imagery nerve response capability and combining a motor behavior test with a cognitive behavior test; and the multiple linear regression analysis module is used for calculating the prediction value of motor imagery nerve response characteristic intensity-relative ERD energy facing alpha and beta typical frequency bands, so that an implementation target of rapid detection is realized. In order to verify the effect of the motor imagery nerve response capability detection device, a motor imagery electroencephalogram control experiment is implemented, a relative ERD energy actual value of hand / foot motor imagery is obtained through calculation, and the implementation effect of the motor imagery nerve response capability detection device is explained through high fitting of a predicted value and the actual value. According to the motor imagery nerve response capability detection device, qualified MI-BCI users are rapidly screened from a large scale of potential users, the defects of high cost, manpower and time cost of traditional electroencephalogram screening are overcome, and technical guarantee is provided for popularization and application of MI-BCI.

Description

technical field [0001] The invention relates to the field of motor imagery nerve response, in particular to a behavior test-based detection device for motor imagery nerve response ability. Background technique [0002] Brain Computer Interface (BCI) builds a direct communication channel between the brain and external devices [1] . Compared to other human output pathways, such as gestures, speech [2] etc., it is a more efficient way of human-computer interaction. BCI realizes the monitoring of the expression of brain intention or physiological state by detecting and analyzing neural activity information. According to different sensing methods, it can be divided into fMRI-based [3] 、NIRS [4] 、EEG [5] There are many types of BCIs, such as BCI, which have different advantages and applicable scenarios. Among them, EEG-BCI based on EEG is expected to be used for active control of external devices in daily work due to its advantages of high temporal resolution and portable e...

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): A61B5/369A61B5/11A61B5/00
CPCA61B5/369A61B5/4088A61B5/1118
Inventor 顾斌明东陈龙王坤王仲朋陈小翠
Owner TIANJIN 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