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Non-invasive blood glucose monitoring method, system and equipment based on PPG (Photoplethysmography) signals and medium

A blood sugar monitoring and signal technology, 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., and achieve the effect of avoiding wound infection, low cost and simple realization

Active Publication Date: 2019-08-20
张远
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  • 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

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  • Non-invasive blood glucose monitoring method, system and equipment based on PPG (Photoplethysmography) signals and medium
  • Non-invasive blood glucose monitoring method, system and equipment based on PPG (Photoplethysmography) signals and medium
  • Non-invasive blood glucose monitoring method, system and equipment based on PPG (Photoplethysmography) signals and medium

Examples

Experimental program
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Effect test

Embodiment 1

[0042] Embodiment 1, this embodiment provides a non-invasive blood glucose monitoring method based on PPG signals;

[0043] Such as figure 1 As shown, the non-invasive blood glucose monitoring method based on PPG signal includes:

[0044] S1: collect the PPG signal to be monitored; filter the PPG signal to be monitored, and remove the high frequency component of the PPG signal to be monitored;

[0045] S2: remove the baseline drift from the filtered PPG signal to be monitored; perform segmentation processing on the PPG signal to be monitored after removing the baseline drift, and divide it into several single-period PPG signals to be monitored;

[0046] S3: Perform feature extraction on each single-period PPG signal to be monitored, and extract several signal features;

[0047] S4: Input all the extracted signal features into a pre-trained classifier, perform classification and recognition, and identify the blood glucose concentration label corresponding to the PPG signal to...

Embodiment 2

[0106] Embodiment 2, this embodiment provides a non-invasive blood glucose monitoring system based on PPG signals;

[0107] Non-invasive blood glucose monitoring system based on PPG signal, including:

[0108] A high-frequency component removal module, which is configured to collect the PPG signal to be monitored; filter the PPG signal to be monitored, and remove the high-frequency component of the PPG signal to be monitored;

[0109] A baseline drift removal module configured to filter the PPG signal to be monitored to remove baseline drift;

[0110] A single-period segmentation module, which is configured to segment the PPG signal to be monitored after removing the baseline drift, and divide it into several single-period PPG signals to be monitored;

[0111] Feature extraction module, it is configured to carry out feature extraction to the PPG signal to be monitored of each single cycle, extracts several signal features;

[0112] The classification module is configured to ...

Embodiment 3

[0113] Embodiment 3. This embodiment also provides an electronic device, including a memory, a processor, and computer instructions stored in the memory and run on the processor. When the computer instructions are executed by the processor, each step in the method is completed. For the sake of brevity, the operation will not be repeated here.

[0114] Described electronic device can be mobile terminal and non-mobile terminal, and non-mobile terminal comprises desktop computer, and mobile terminal comprises smart phone (Smart Phone, such as Android mobile phone, IOS mobile phone etc.), smart glasses, smart watch, smart bracelet, tablet computer , laptops, personal digital assistants and other mobile Internet devices that can communicate wirelessly.

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Abstract

The invention discloses a non-invasive blood glucose monitoring method, system and equipment based on PPG (photoplethysmography) signals and a medium. The non-invasive blood glucose monitoring methodcomprises the following steps: acquiring to-be-monitored PPG signals; carrying out filtering processing on the to-be-monitored PPG signals, and removing high-frequency components of the to-be-monitored PPG signals; removing baseline drift of the to-be-monitored PPG signals subjected to filtering processing; carrying out segmental processing on the to-be-monitored PPG signals of which the baselinedrift is removed, and dividing the to-be-monitored PPG signals into a plurality of single-period to-be-monitored PPG signals; carrying out characteristic extraction on each of the single-period to-be-monitored PPG signals, and extracting a plurality of signal characteristics; and inputting the all extracted signal characteristics into a pre-trained classifier, carrying out classification and identification, and identifying blood glucose concentration labels corresponding to the to-be-monitored PPG signals.

Description

technical field [0001] The present disclosure relates to the technical field of blood sugar monitoring, in particular to a non-invasive blood sugar monitoring method, system, device and medium based on PPG signals. Background technique [0002] The statements in this section merely mention background art related to the present disclosure and do not necessarily constitute prior art. [0003] In the process of realizing the present disclosure, the inventors found that the following technical problems existed in the prior art: [0004] Diabetes mellitus is a lifelong metabolic disease characterized by chronic hyperglycemia caused by multiple causes. Diabetes is a chronic disease that cannot be cured, but it can be controlled with proper management. About 1.7% of the world's population suffers from diabetes, and this proportion is likely to increase in the near future. Diabetes is divided into four types according to the mechanism of onset, of which type I and type II diabete...

Claims

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Application Information

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Patent Type & Authority Applications(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
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