Unlock instant, AI-driven research and patent intelligence for your innovation.

A method and system for detecting methamphetamine addicts based on multi-channel fnirs signal

A multi-channel, signal technology, applied in the direction of diagnostic signal processing, telemetry patient monitoring, diagnostic recording/measurement, etc., can solve the problem that it is difficult to detect people who cannot detect drug abuse and methamphetamine, so as to improve the detection accuracy and reduce detection the effect of time

Active Publication Date: 2021-09-07
SOUTH CENTRAL UNIVERSITY FOR NATIONALITIES
View PDF8 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The traditional urine and blood testing methods mainly judge whether a person is taking drugs by detecting the components in human urine or blood. However, after a period of time, the components in urine and blood return to normal after the normal metabolism of the human body. whether it takes drugs
Therefore, traditional methods can only detect people who have recently used methamphetamine, but it is difficult to accurately detect people who have not been exposed to methamphetamine for a long time

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
  • A method and system for detecting methamphetamine addicts based on multi-channel fnirs signal
  • A method and system for detecting methamphetamine addicts based on multi-channel fnirs signal
  • A method and system for detecting methamphetamine addicts based on multi-channel fnirs signal

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0050] The embodiment of the present invention discloses a methamphetamine detection method based on the directional phase index of multi-channel fNIRS signals, which includes calculating the directional phase index values ​​between the fNIRS signals of each channel of two types of subjects, and generating two types of subjects The directional phase index matrix of the tester; the directional phase index of the channel pair with significant differences is used as a classification feature, and is sent to the machine learning algorithm for machine learning model training. Perform real-time extraction to obtain and save the multi-channel fNIRS signals of the tester, and perform various preprocessing operations on the fNIRS signals of each channel, then calculate the directional phase index value between the fNIRS signals of each channel of the tester, and generate the tester The directional phase index matrix is ​​sent as input to the trained classifier to obtain the detection res...

Embodiment 2

[0083] An embodiment of the present invention provides an electronic device, including a memory and a processor, and also includes some peripherals, such as multiple brain electrodes, etc., and multiple brain electrodes are connected to the electronic device to form a multi-channel fNIRS signal-based Meth Addiction Detection System, which includes:

[0084] The signal extraction module is composed of brain electrodes and their connection channels with electronic equipment, extracts the tester's fNIRS signal in real time through the multi-channel fNIRS channel, obtains the tester's multi-channel fNIRS signal and saves it in the memory;

[0085] A computer software program is also stored in the memory, and the software program is read and executed by the processor for implementing the method for detecting methamphetamine addicts based on multi-channel fNIRS signals disclosed in Embodiment 1 of the present invention. This memory can include:

[0086] The preprocessing and matrix...

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 relates to a method and system for detecting methamphetamine addicts based on multi-channel fNIRS signals. The fNIRS signals of the testers are extracted in real time through the multi-channel fNIRS channels, and the multi-channel fNIRS signals of the testers are obtained and stored; After the signal is pre-processed, the directional phase index of the fNIRS signal of each channel is calculated; the directional phase index of the tester is sent to the classifier as an input to obtain the detection result. Based on brain nerve signals, the scheme overcomes the shortcomings of traditional methamphetamine detection and proposes a new method for methamphetamine detection, which greatly increases the effective time of detection. Finally, after testing, the detection accuracy has also been greatly improved.

Description

technical field [0001] The invention relates to the technical field of feature detection, in particular to a method and system for detecting methamphetamine addicts based on multi-channel fNIRS signals. Background technique [0002] Meth methamphetamine entered China in the 1990s. Due to the lack of awareness of methamphetamine and the lack of effective detection methods, it is very difficult to detect drug users. [0003] The main component of methamphetamine is methamphetamine, also known as methamphetamine. Because the pure methamphetamine is a transparent crystal, which is very similar to rock sugar, it is also called methamphetamine. Excessive use of methamphetamine will not only make people extremely dependent, but also cause symptoms such as methamphetamine psychosis and schizophrenia. At present, most of the detection methods for ice (methamphetamine) are urine and blood tests. The traditional urine and blood testing methods mainly judge whether a person is taking ...

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 Patents(China)
IPC IPC(8): A61B5/1455
CPCA61B5/0042A61B5/14546A61B5/1455A61B5/4845A61B5/72A61B5/7203A61B5/7225A61B5/7264
Inventor 高军峰黎峰宋健张家琦魏曙光韦思宏黄伟安曾宣威康倩若湛慧苗
Owner SOUTH CENTRAL UNIVERSITY FOR NATIONALITIES