IoT Based Acetone Level Monitoring Using Non-Invasive Method for Diabetic Patients

A Saxena, MJ Sharanya… - Available at SSRN …, 2019 - papers.ssrn.com
A Saxena, MJ Sharanya, NS Ramaiah
Available at SSRN 3358127, 2019papers.ssrn.com
Diabetes mellitus (DM), commonly referred to as diabetics, is a group of metabolic disorders
in which the Diabetes is the biggest health challenge of the 21st century. It is the major
cause of blindness, obesity, ageing population, heart disease, stroke, amputations and renal
failure in the world. Diabetes affects the body's ability to produce or utilize insulin, a hormone
that is needed to properly process blood glucose. As a result, diabetics must regulate their
own blood sugar levels through diet and insulin injections. The key point in the regulation of …
Abstract
Diabetes mellitus (DM), commonly referred to as diabetics, is a group of metabolic disorders in which the Diabetes is the biggest health challenge of the 21st century. It is the major cause of blindness, obesity, ageing population, heart disease, stroke, amputations and renal failure in the world. Diabetes affects the body’s ability to produce or utilize insulin, a hormone that is needed to properly process blood glucose. As a result, diabetics must regulate their own blood sugar levels through diet and insulin injections. The key point in the regulation of blood sugar is the accurate measurement of the blood sugar level. There are mainly three types of diabetes namely, type I, type II and gestational diabetes. Sometimes type I can lead to type II diabetes. Common diabetic test on patients are done using urinary test and blood ketone test to monitor for diabetes condition. However, those methods are considered as invasive, inconvenient and expensive. During emergency and critical situations, we can’t find a hospital nearby. Hence this system with easy handling, convenient and less expensive method can be used. Technology with internet of things has revolutionized Health care system which is Study of diabetic patients using breath analyser and exhale gases that include acetone and comparing with normal glucose and glycohemoglobin level. Main objective of this work is to present a easy handheld healthcare monitoring system for diabetic level measurement using IoT.
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