Fatigue driving electroencephalogram monitoring method based on multi-threshold comparison

A fatigue driving and threshold comparison technology, applied in the field of brain wave monitoring, can solve complex, difficult to popularize, inconvenient and other problems

Inactive Publication Date: 2015-12-02
XIAN UNIV OF SCI & TECH
View PDF3 Cites 10 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The traditional subcutaneous brainwave acquisition method is complex and inconvenient, so it is difficult to extend it to other f...

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
  • Fatigue driving electroencephalogram monitoring method based on multi-threshold comparison
  • Fatigue driving electroencephalogram monitoring method based on multi-threshold comparison
  • Fatigue driving electroencephalogram monitoring method based on multi-threshold comparison

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0181] Such as figure 1 Shown a kind of fatigue driving EEG monitoring method based on multi-threshold comparison, comprising the following steps:

[0182] Step 1. Brain wave signal collection: use the brain wave signal acquisition device 1 to collect and preprocess the driver's brain wave signal according to the preset sampling frequency, and transmit the preprocessed brain wave signal to the brain wave signal synchronously. Signal monitoring device 2, see figure 2 ;

[0183] The EEG signal acquisition device 1 communicates with the EEG signal monitoring device 2 in a wireless communication mode; the EEG signal acquisition device 1 is a TGAM module, and the TGAM module includes extracting the driver's EEG signal The EEG signal extraction device 1-1 and the EEG signal preprocessing device 1-2 for sampling and preprocessing the signals extracted by the EEG signal extraction device 1-1, the EEG signal preprocessing device 1-2 and The EEG signal extraction device 1-1 is conne...

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 fatigue driving electroencephalogram monitoring method based on multi-threshold comparison. The fatigue driving electroencephalogram monitoring method comprises the following steps of step 1, acquiring an electroencephalogram signal: acquiring and pre-treating the electroencephalogram signal of a driver by using an electroencephalogram signal acquiring device, and synchronously transmitting the electroencephalogram signal to an electroencephalogram signal monitoring device; step 2, carrying out analysis treatment on the electroencephalogram signal: carrying out the analysis treatment on the electroencephalogram signal which is acquired and pre-treated by the electroencephalogram signal acquiring device within each second according to the sequence of sampling time, and judging whether the driver is at a fatigue driving state or not at the moment according to an analysis treatment result. The process of carrying out the analysis treatment on the electroencephalogram signal which is acquired and pre-treated within any second comprises the following steps: synchronously storing the electroencephalogram signal, extracting a characteristic signal, determining a characteristic quantity, carrying out the multi-threshold comparison and judging the fatigue driving. The method disclosed by the invention has simple steps, a reasonable design, is convenient to realize and has good use effects; the fatigue driving state of the driver can be conveniently, simply, rapidly and accurately monitored.

Description

technical field [0001] The invention belongs to the technical field of electroencephalogram monitoring, and in particular relates to an electroencephalogram monitoring method for fatigue driving based on multi-threshold comparison. Background technique [0002] In recent years, with the increase of car ownership and the expansion of road construction scale, problems such as traffic accidents have become increasingly prominent. China is the most populous country in the world, and the number of road traffic accident deaths is also the highest in the world, ranking first in the world for several consecutive years. Drivers risking fatigue driving will undoubtedly bring hidden dangers to the safety of themselves and passengers. The research on driving fatigue is divided into two methods: subjective and objective. The subjective research methods include subjective questionnaire, driver self-record, sleep habit questionnaire, and Stanford sleep scale. Objective research methods 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
IPC IPC(8): A61B5/18A61B5/0476
Inventor 汪梅温涛吕元杰
Owner XIAN UNIV OF SCI & TECH
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