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

Blood glucose prediction method based on diet intake GI, heart rate and exercise step number

A technology of motion steps and prediction method, which is applied in the field of blood sugar prediction, can solve the problem of uncured diabetes and other problems, and achieve the effect of reducing non-stationary factors, relieving pain, and increasing reliability

Pending Publication Date: 2022-03-22
GUILIN UNIV OF ELECTRONIC TECH
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] Currently, there is no cure for diabetes

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
  • Blood glucose prediction method based on diet intake GI, heart rate and exercise step number
  • Blood glucose prediction method based on diet intake GI, heart rate and exercise step number
  • Blood glucose prediction method based on diet intake GI, heart rate and exercise step number

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0046] Such as figure 1As shown, a blood sugar prediction method based on dietary intake GI, heart rate, and exercise steps includes the following steps:

[0047] 1) Collect the GI value of dietary intake, heart rate, number of exercise steps, and blood sugar data within the same period of time required to build a blood sugar prediction model;

[0048] Blood glucose time series data were obtained by collecting glucose concentration in interstitial fluid with portable CGM equipment. The total GI value of dietary intake is calculated by strictly calculating the intake of each single food in the meal and its GI value, and quantified into a graph, which is transformed into time series data after resampling. The time series data of heart rate and exercise steps are continuously monitored by the exercise bracelet.

[0049] 2) Because the sampling time interval of the data obtained in step 1) is inconsistent. For example, when the sampling interval of the blood glucose data collec...

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 blood glucose prediction method based on food intake GI, heart rate and exercise step number, and the method comprises the steps: collecting food intake GI, heart rate, exercise step number and blood glucose data in the same period of time, quantifying the collected data into four-dimensional data with the same sampling interval, then carrying out the noise reduction and normalization processing, and carrying out the calculation of the four-dimensional data. The processed data are sent into a constructed GRU neural network blood glucose prediction model framework to be trained, a blood glucose prediction model is obtained, and finally, diet intake GI, heart rate and movement step number data related to blood glucose changes serve as input to be sent into the blood glucose prediction model to be subjected to blood glucose prediction. According to the method, non-invasive prediction of the blood glucose level in the same period of GI value, heart rate and movement step number data sampling can be achieved, the prediction speed is high, and the precision is high.

Description

technical field [0001] The invention relates to the technical field of blood sugar prediction, in particular to a blood sugar prediction method based on dietary intake GI, heart rate and exercise steps. Background technique [0002] Currently, there is no cure for diabetes. Early diagnosis and treatment of diabetes is particularly important to control the development of the disease and prevent adverse conditions. At the same time, diabetic patients need to constantly self-manage glucose, insulin, nutrition and exercise to regulate the body's blood sugar concentration, so that blood sugar can reach a steady state to prevent related complications. [0003] The main rule of blood sugar change is: blood sugar is low before meals, and blood sugar starts to rise after meals, but it maintains a certain steady state regardless of fasting or after meals. The blood sugar level of the human body may be at the lowest value in the early morning, and it is at the highest value for a per...

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): G16H50/30G06K9/00G06N3/04G06N3/08
CPCG16H50/30G06N3/08G06N3/048G06N3/044G06F2218/06
Inventor 方成梁晨刘萍张雪桃
Owner GUILIN UNIV OF ELECTRONIC TECH