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

Non-invasive blood glucose monitoring method, system, device and medium based on ppg signal

A technology of blood sugar monitoring and signal, applied in the field of non-invasive blood sugar monitoring based on PPG signal, can solve the problems of no non-invasive blood sugar monitoring method, unfavorable real-time blood sugar monitoring, high hardware cost, etc., to achieve signal classification, avoid wound infection, and accurate results Effect

Active Publication Date: 2022-02-18
张远
View PDF6 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Special blood glucose monitoring equipment is required, which is not conducive to carrying and real-time blood glucose monitoring, and the hardware cost is high
[0010] In summary, there is no non-invasive blood glucose monitoring method based on PPG signal processing and machine learning

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
  • Non-invasive blood glucose monitoring method, system, device and medium based on ppg signal
  • Non-invasive blood glucose monitoring method, system, device and medium based on ppg signal
  • Non-invasive blood glucose monitoring method, system, device and medium based on ppg signal

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0042] EXAMPLES, this embodiment provides a non-invasive blood sugar monitoring method based on a PPG signal;

[0043] like figure 1 As shown, the non-invasive blood sugar monitoring method based on PPG signal, including:

[0044] S1: Collect the PPG signal to be monitored; the PPG signal to be monitored is filtered, and the high frequency component of the PPG signal to be monitored;

[0045] S2: The PPG signal to be monitored after the filter is processed, remove the baseline drift; segment the PPG signal to be monitored after the baseline drift is subjected to segmentation, divided into several single-cycle to be monitored PPG signal;

[0046] S3: Feature extraction of each single-cycle to be monitored by the PPG signal, extracts several signal characteristics;

[0047] S4: Enter all of the extracted signal features into a pre-trained classifier, and classify, identify the blood sugar concentration tag corresponding to the PPG signal to be monitored.

[0048] As one or more embo...

Embodiment 2

[0106] Embodiment 2 This embodiment provides a non-invasive blood sugar monitoring system based on a PPG signal;

[0107] Unconscious blood sugar monitoring system based on PPG signal, including:

[0108] The high frequency component removes the module, which is configured to collect the PPG signal to be monitored; the PPG signal to be monitored performs filtering processing, and the high frequency component of the PPG signal to be monitored;

[0109] The baseline drift removal module is configured to remove the baseline drift after the filter is processed.

[0110] Single-cycle segmentation module configured to segment the PPG signal to be monitored after the baseline drift, divided into several single-cycle to be monitored PPG signals;

[0111] Feature extraction module, which is configured to make feature extraction of each single-cycle to be monitored, and extract a number of signal characteristics;

[0112] Classification module configured to input all of the extracted signal...

Embodiment 3

[0113] Embodiment 3. This embodiment also provides an electronic device, including a memory and a processor, and a computer instruction stored on the memory and running on the processor, the computer instruction is running by the processor, and each of the completion method Operation, for the sake of brevity, will not be described here again.

[0114] The electronic device can be a mobile terminal and a non-mobile terminal, and the non-mobile terminal includes a desktop computer, a mobile terminal includes a smartphone (Smart Phone, such as Android mobile phone, iOS mobile phone, etc.), smart glasses, smart watch, smart bracelet, tablet , Laptops, personal digital assistants, etc., mobile Internet devices that can be communicated with wireless communication.

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 present disclosure discloses a non-invasive blood glucose monitoring method, system, device, and medium based on PPG signals, including: collecting PPG signals to be monitored; filtering the PPG signals to be monitored to remove high-frequency components of the PPG signals to be monitored; filtering The processed PPG signal to be monitored removes the baseline drift; the PPG signal to be monitored after removing the baseline drift is segmented and divided into several single-period PPG signals to be monitored; each single-period PPG signal to be monitored Perform feature extraction to extract several signal features; input all the extracted signal features into a pre-trained classifier for classification and identification, and identify the blood glucose concentration label corresponding to the PPG signal to be monitored.

Description

Technical field [0001] The present disclosure relates to the field of blood glucose monitoring, and in particular, to non-invasive blood sugar monitoring methods, systems, equipment and media based on PPG signals. Background technique [0002] The statement of this section is merely a background technique related to the present disclosure and is not necessarily constituting the prior art. [0003] In the process of implementing the present disclosure, the inventors have found the following technical problems in the prior art: [0004] Diabetes is a lifetime metabolic disease that is characterized by a variety of causes caused by chronic hyperglycemia. Diabetes is a chronic disease that cannot be cured, but it can be appropriately managed to control diabetes. About 1.7% of people in the world suffers from diabetes, and this ratio may increase in the near future. Diabetes is divided into four types depending on the mechanism of the onset, of which the topic is the most type I and t...

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): A61B5/1455A61B5/00
CPCA61B5/1455A61B5/14532A61B5/7203A61B5/7267A61B5/725A61B5/7257
Inventor 张远张高菠南衫卢秉礼许文耀
Owner 张远
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