Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Noninvasive blood glucose detection method and system based on electrocardiosignals

A technology for detecting ECG signals and blood sugar, which is applied in diagnostic signal processing, blood characterization devices, diagnostic recording/measurement, etc., can solve problems such as difficult data processing, high cost of blood sugar detection methods, and low signal-to-noise ratio of non-invasive methods, achieving The effect of low algorithm complexity, low cost, and small amount of calculation

Active Publication Date: 2018-10-16
PEKING UNIV SHENZHEN GRADUATE SCHOOL
View PDF2 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] The technical problem mainly solved by the present invention is that the existing blood glucose detection method is invasive and costly, and the non-invasive method has the problems of low signal-to-noise ratio and difficult data processing

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
  • Noninvasive blood glucose detection method and system based on electrocardiosignals
  • Noninvasive blood glucose detection method and system based on electrocardiosignals
  • Noninvasive blood glucose detection method and system based on electrocardiosignals

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0021] Embodiment 1 of the present invention: Please refer to figure 1 , a non-invasive blood glucose detection method based on electrocardiographic signals, which includes steps A000 to A100, specifically described below:

[0022] A000: Obtain the ECG signal of the person to be detected.

[0023] A100: Calculate the corresponding blood sugar value according to the electrocardiographic signal.

[0024] In one embodiment, step A100 includes: calculating one or more characteristic indexes of the electrocardiographic signal according to the electrocardiographic signal, and calculating a corresponding blood glucose value according to the characteristic indexes of the electrocardiographic signal.

[0025] In one embodiment, the characteristic index of the ECG signal includes: linearly analyzing the pRRx sequence of the ECG signal to obtain one or more linear characteristic indexes, and / or performing nonlinear analysis to obtain one or more Non-linear feature metrics. The pRRx se...

Embodiment 2

[0056] Embodiment 2: A kind of non-invasive blood sugar detection system based on ECG signal, such as image 3 As shown, including the ECG signal acquisition device B00 and the processor B10, the specific description is as follows:

[0057] The electrocardiographic signal collection device B00 is used to collect the electrocardiographic signal of the person to be detected;

[0058] The processor B10 is configured to execute the ECG signal-based non-invasive blood glucose detection method described in any one of the above embodiments. For example, the processor B10 may calculate one or more characteristic indexes of the electrocardiographic signal according to the electrocardiographic signal, and calculate a corresponding blood sugar value according to the characteristic indexes of the electrocardiographic signal. On the other hand, the processor B10 can pre-establish a model function of the corresponding relationship between the characteristic index of the ECG signal and the ...

Embodiment 3

[0059] Embodiment 3: A kind of non-invasive blood sugar detection product C00 based on electrocardiographic signal, such as Figure 4 As shown, including the memory C01 and the processor C02, the following details:

[0060] Memory C01, used to store programs;

[0061] The processor C02 is configured to execute the program stored in the memory to implement the ECG signal-based non-invasive blood glucose detection method described in any of the above embodiments. For example, the processor C02 executes the program stored in the memory C01, and can calculate one or more characteristic indexes of the electrocardiographic signal according to the characteristic indexes of the electrocardiographic signal, and calculate the corresponding blood sugar value according to the characteristic indexes of the electrocardiographic signal. On the other hand, the program stored in the memory C01 can also be used to pre-establish the model function of the corresponding relationship between the c...

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 noninvasive blood glucose detection method and system based on electrocardiosignals. The noninvasive blood glucose detection method comprises the steps that by obtaining theelectrocardiosignals, the corresponding electrocardiosignal pRRx sequence is obtained, through linear analysis and / or nonlinear analysis of the pRRx sequence, corresponding characteristic indexes areobtained, and the calculated characteristic indexes and corresponding blood glucose values are used as input and labels for machine learning and training to obtain a model function of the corresponding relationship between the characteristic indexes of the electrocardiosignals and the blood glucose values; and when the blood glucose value at a certain time point is to be detected, by obtaining theelectrocardiosignal before the time point, calculating and according to the characteristic indexes of the electrocardiosignal, the blood glucose value at the time point can be obtained through the model function. Compared with the prior art, the electrocardiosignals acquired non-invasively are used as source signals, the cost is low, safety and efficiency are achieved, in addition, the calculation amount of the blood glucose detection process of the noninvasive blood glucose detection method is small, the algorithm complexity is low, and the efficiency is high.

Description

technical field [0001] The invention relates to the technical field of non-invasive blood sugar detection, in particular to a non-invasive blood sugar detection method and system based on electrocardiographic signals. Background technique [0002] There are currently two mainstream blood sugar self-testing methods, invasive and minimally invasive. [0003] Invasive and invasive blood glucose monitoring methods require a blood glucose meter, lancets and blood glucose test strips. The main principle is to measure blood sugar by measuring the current generated by the reaction of glucose in the blood with glucose dehydrogenase or glucose oxidase in the test paper. The advantage of this method is that the measurement results are more accurate. The disadvantage is that the dehydrogenase is not unitary to glucose and is prone to false blood sugar; the oxidase is unitary to glucose, but it is easily oxidized to affect the measurement results. At the same time, this invasive detect...

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): A61B5/145A61B5/0402
CPCA61B5/14532A61B5/72A61B5/318A61B5/02405A61B5/0245
Inventor 李冉王新安刘彦伶赵天夏李秋平孙贺陈红英何春舅
Owner PEKING UNIV SHENZHEN GRADUATE SCHOOL
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com