Smoking-desire-reducing neural signal feedback method based on electrical activity of brain

A neural signal and brain electrical activity technology, applied in the field of neural signal feedback, can solve the problems of low side effects, high relapse rate, and low effectiveness of treatment methods, and achieve the effect of reducing craving and improving smoking cessation efficiency.

Inactive Publication Date: 2019-04-19
安徽效隆科技有限公司
View PDF1 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Therefore, in view of the high relapse rate of smoking addiction and the low effectiveness of treatment methods, the development of ne

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
  • Smoking-desire-reducing neural signal feedback method based on electrical activity of brain
  • Smoking-desire-reducing neural signal feedback method based on electrical activity of brain
  • Smoking-desire-reducing neural signal feedback method based on electrical activity of brain

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0038] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0039] see figure 1 As shown, the present invention is a neural signal feedback method for reducing smoking craving based on brain electrical activity, comprising the following steps:

[0040] Step S01: Real-time collection of smoking stimulation patterns of ex-smokers by electroencephalograph;

[0041] Step S02: processing and analyzing the smoking stimulus-response pattern of ex-smokers based on EEG;

[0042] Step S03: performing feedback training on the EEG nerv...

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 smoking-desire-reducing neural signal feedback method based on electrical activity of the brain, and relates to the field of neural signal feedback. The smoking-desire-reducing neural signal feedback method includes the following steps that S01, the smoking stimulation mode of an ex-smoker is collected in real time through an electroencephalograph; S02, the smoking stimulation reaction mode of the ex-smoker is processed and analyzed based on brain electricity; S03, feedback training is conducted on brain electricity nerves; S04, the ex-smoker is treated. According tothe smoking-desire-reducing neural signal feedback method, no foreign matter enters the body of the smoker, and the side effect caused by drugs is avoided; meanwhile, training is conducted through brain-electricity real-time feedback signals, the ex-smoker can obtain feedback information of neural signals of the brain-electricity stimulation reaction mode in real time, learn the own state in time,and improve the desire control ability through continuous trying, a desire reducing effect can be achieved, and the smoking cessation efficiency of the ex-smoker can be improved.

Description

technical field [0001] The invention belongs to the field of neural signal feedback, in particular to a neural signal feedback method for reducing smoking craving based on brain electrical activity. Background technique [0002] Smoking addiction can lead to several deadly diseases including lung cancer and heart disease. The World Health Organization stated that smoking addiction is one of the important causes of disease and death in the world and in China. In order to control smoking addiction, many countries have formulated relevant policies to help smokers quit smoking, but the withdrawal rate of smoking addiction is very low. A survey shows that more than 75% of smokers have tried to quit smoking, but only 3% of them can quit successfully. And the strong craving for smoking is the main reason for the low withdrawal rate. [0003] At present, the methods for reducing the craving for smoking are mainly externally administered substances, the most common ones being nico...

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): A61B5/0482A61B5/0476A61B5/375
CPCA61B5/375A61B5/369
Inventor 张效初
Owner 安徽效隆科技有限公司
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