Non-invasive blood glucose monitoring using CO2 breath analyzer

Clicks: 1
ID: 287204
2022
Free PDF
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal

Ranked #3,585 of 3,757 articles by views in Malay Journal

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 3,757 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Sign in to mint
Abstract
Diabetes, a metabolic disease that is characterized by abnormally high levels of blood glucose levels, has a 6% of the world’s attributed death causes. Catering to this disease requires constant monitoring of blood sugar. However, invasive processes are the most prevalent method of monitoring and have inevitably caused discomfort and fear of psychological anticipation of pain. Non-invasive methods are being developed as a better alternative for blood glucose monitoring and to do so, this study aims to utilize exhaled carbon dioxide concentration as a means to monitor blood sugar levels, in such a way that a correlation between exhaled carbon dioxide and blood sugar levels is established and a calibration curve is generated. The methodology of the study required 12 participants, including, non-diabetics, pre-diabetics, and diabetics. Their blood sugar levels were monitored using the conventional finger-prick method and the exhaled carbon dioxide concentration was measured using the CDM7160-C00 carbon dioxide sensor, at which they breathe for 1 minute, during 3 time periods. Analysis of the data required the Linear Regression Analysis. Results show that there is a linear relationship between exhaled carbon dioxide concentration and blood glucose level, with a negative regression coefficient. The derived linear regression equation is 𝑦 = − 0. 0076𝑥 + 357. 6, where y is the blood glucose level in mg/dL and x is the carbon dioxide concentration in ppm. This indicates that exhaled carbon dioxide decreases as blood glucose levels rise. The housing and sensor can also be used to estimate blood glucose levels.
Reference Key
persistent_1760660894_68f18d9e114db Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Hernandez, Nellene Kyla Santos
Journal Malay Journal
Year 2022
DOI
DOI not found
URL
https://animorepository.dlsu.edu.ph/etdb_physics/8
Keywords Keywords not found

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.