CNV brain electricity lie detection method based on brain network analysis

A brain network and EEG technology, applied in the field of CNV EEG lie detection based on brain network analysis, can solve problems such as ignoring the cognitive differences of lie detection brain waves, and achieve the effect of highlighting differences, low investment cost, and reasonable design

Active Publication Date: 2018-07-24
SHAANXI NORMAL UNIV
View PDF7 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In addition, the researchers analyzed the difference between the two types of waveforms statistically, and the existing CNV EEG lie detection accuracy rate is about 80%.
[0005] In summary, the existing ERP lie detection methods mainly study the local lead characteristics of the EEG signal, while ignoring the cognitive differences of the lie detection EEG in the whole brain region.

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
  • CNV brain electricity lie detection method based on brain network analysis
  • CNV brain electricity lie detection method based on brain network analysis
  • CNV brain electricity lie detection method based on brain network analysis

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0053] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, not all of them. : Based on the embodiments of the present invention, all the embodiments obtained by those skilled in the art without doing creative work all belong to the protection scope of the present invention.

[0054] see figure 1 , is the circuit principle block diagram device of the EEG polygraph device adopted by the present invention. combine figure 2 The inventive method is described in detail, comprising the following steps:

[0055] Step 1, EEG signal extraction and synchronous amplification:

[0056] The EEG signals of 64 parts of the tester's head are extracted in real time through the 64-lead EEG electrode 1, and the 64 EEG signals extracted by the 64...

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 CNV brain electrical lie detection method based on brain network analysis. The method comprises four parts of electroencephalogram signal acquisition, electroencephalogram signal preprocessing, electroencephalogram signal feature extraction and electroencephalogram signal display. The method uses a brain network analysis method to extract features of CNV brain waves, and makes up for the deficiency of existing lie detection technologies on cognitive difference of the whole brain region of electroencephalogram signals. Meanwhile, the electroencephalogram signals of multiple subjects in an experimental group and a control group are separately collected by software, the collected electroencephalogram signals are stored in a preset storage unit, pretreatment and feature extraction are conducted on electroencephalogram data of the same subject in different states, and analysis and comparison are conducted on the pretreatment and characteristics so as to provide reasonable lie detection results.

Description

technical field [0001] The invention belongs to the technical field of CNV electroencephalography polygraph research, and in particular relates to a CNV electroencephalographic polygraph method based on brain network analysis. Background technique [0002] The rapid development of science and technology in today's era, the intelligence of criminal tools and the concealment of criminal methods make it increasingly difficult to obtain evidence in cases. Therefore, the verification and identification of confessions has become the key to breakthroughs in cases. In recent years, psychological theory and scientific polygraph technology have begun to play an important role in interrogation practice and are widely used in business, politics, court trials, and national security. [0003] Event-related potential technology is one of the hotspots in polygraph technology research. It has the advantages of objectivity, stability, cost saving and non-invasiveness. It is mainly reflected i...

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): A61B5/16A61B5/0476A61B5/00
CPCA61B5/164A61B5/7264A61B5/316A61B5/369
Inventor 艾玲梅陈慧君薛亚庆
Owner SHAANXI NORMAL 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