Bio-medical Device for Blood Glucose Measurement using Non-invasive Technology
No Thumbnail Available
Date
2019
Journal Title
Journal ISSN
Volume Title
Type
Other
Publisher
October university for modern sciences and arts
Series Info
Engineering Distinguished Graduation 2018 - 2019.;
Doi
Scientific Journal Rankings
Abstract
The quantity of individuals affected by diabetes is rapidly expanding around the world
because of the expansion of middle age in the populace and lifestyle that doesn’t include any
activity for the body. The quantity is possible to be exceeded in 2030 to 500 million cases, bringing
out the most socio-health crises of the 3rd millennium. Monitoring blood glucose concentration
levels daily is an advantageous thing to avoid a problem in health. The devices available in the
market have many side effects as they use an invasive method in measuring glucose concentration
level. Over the last few years, the level of blood glucose is self-monitored using a glucose meter
that works with an invasive way. Invasive method of testing blood glucose concentration causes a
risk of skin infection, physical and psychological pain due to pricking the finger at least three
times. Currently, there are some devices that monitor glucose concentration levels continuously
and they are called continuous glucose monitoring (CGM) devices. CGM devices working by
placing a sensor on the body by a needle stick. Nowadays, there are a lot of researches about a new
technology which will be used in measuring blood glucose concentration with a non-invasive way
to dispose the side effects of the available devices in the market. The purpose of this project is to
provide a non-invasive technique for measuring blood glucose concentration level to replace the
available devices in the Egyptian market. A signal called “photoplethysmography (PPG)” is used
in estimating blood glucose concentration level. PPG signal is obtained using near-infrared
spectroscopy which contains near-Infrared (NIR) LED and Indium Galium Arsenide (InGaAs)
photodiode of peak wavelength 1550nm. Regression analysis will be used to obtain a regression
equation that is going to predict the glucose concentration level using a dataset that contains
invasive blood glucose measurements and the corresponding analog voltage for a certain number
of diabetic individuals.
Description
Keywords
October university for modern sciences and arts, university of modern sciences and arts, جامعة اكتوبر للعلوم الحديثة و الاداب, MSA university, Non-invasive Technology
Citation
Copyright © 2019 MSA University. All Rights Reserved.