Time-varying brain network reconstruction method facing dynamic video target detection

A target detection, brain network technology, applied in the field of EEG recognition, can solve the problems of lack of research and analysis, complex detection process, etc.

Active Publication Date: 2021-04-13
PLA STRATEGIC SUPPORT FORCE INFORMATION ENG UNIV PLA SSF IEU
View PDF24 Cites 10 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Different from image object detection, the time when dynamic visual objects appear is unknown, so the detection process of such visual objects is more complicated. Although the existing research on the neural mechanism of image object detection has made some progress, however, the objects in dynamic scenes cannot be searched for. There is still a lack of relevant research and analysis on the complete cognitive processing process that has been discovered.

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
  • Time-varying brain network reconstruction method facing dynamic video target detection
  • Time-varying brain network reconstruction method facing dynamic video target detection
  • Time-varying brain network reconstruction method facing dynamic video target detection

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0032] In order to make the purpose, technical solution and advantages of the present invention more clear and understandable, the present invention will be further described in detail below in conjunction with the accompanying drawings and technical solutions.

[0033] EEG can accurately record the discharge rules of neurons in the brain during information processing, and plays an important role in the study of brain function. The exploration of brain cognitive activities should not only focus on the activities of specific brain regions, but also pay attention to the interactive relationship between brain regions, that is, brain networks. In order to study the processing of neural information more precisely in time, the time-varying network analysis method is especially suitable for the study of neural mechanisms based on event-related potentials. Embodiment of the present invention, see figure 1 As shown, a time-varying brain network reconstruction method for dynamic video ...

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 belongs to the technical field of electroencephalogram recognition, and particularly relates to a time-varying brain network reconstruction method facing dynamic video target detection. The method comprises the following steps that a scalp electroencephalogram signal of a testee under an acquired dynamic video is mapped to a cortex space, and a cortex signal with high temporal-spatial resolution is reconstructed; and an interested brain area is selected from the cortex space to serve as a network analysis node, and a cortex time-varying brain network connection graph reflecting the cognitive processing process is obtained by analyzing the neural information processing process from target search to target discovery according to cortex signal. According to the method, a neural processing mechanism of the process from search to discovery of a dynamic visual target is expanded, scalp electroencephalogram with the high temporal-spatial resolution is selected to be mapped into cortex electroencephalogram with the high temporal-spatial resolution, a finer brain activity diagram can be obtained, the brain neural information processing process is further explored through a time-varying network analysis method, the application of a brain-computer interface in an actual environment is facilitated, and the application prospect is good.

Description

technical field [0001] The invention belongs to the technical field of electroencephalogram recognition, in particular to a time-varying brain network reconstruction method for dynamic video target detection. Background technique [0002] Rapid detection of events of interest from complex visual scenes is an essential survival skill. However, it is not easy for patients with neurological and psychiatric diseases with cognitive impairment. Cognitive neuroscience calls this cognitive process object detection, and its important position in daily life highlights the importance of studying the neural mechanism of this core cognitive process. Exploring the neural information processing mechanism of the human brain on the events of concern will provide more comprehensive theoretical guidance for human beings to further explore neuroscience, and provide answers to important questions such as "the cooperation mechanism of multiple brain regions in complex thinking activities" and "t...

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): A61B5/369A61B5/00G06F17/16G06K9/00
CPCA61B5/7203A61B5/725A61B5/4064A61B5/4088G06F17/16G06F2218/02Y02D10/00
Inventor 曾颖宋喜玉童莉舒君闫镔张军政李慧敏张融恺
Owner PLA STRATEGIC SUPPORT FORCE INFORMATION ENG UNIV PLA SSF IEU
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