Paper Title

A Modular approach to diabetic examination with alert system based on IoT

Authors

Guruprasad M Bhat , Pradeep R , Praveen K , Sathvik B S , Yashas K R

Keywords

Non Invasive, Insulin, GSM Module

Abstract

Diabetes is a chronic disease which when not monitored from time to time can be life threatening disease. Diabetes can be controlled only if the blood glucose level of the affected person is constantly monitored and proper care is given from professionals. The roles in our system include patients, physicians and home care assistants. Each of the roles uses a mobile device with GSM module or a mobile phone to communicate with the server so that there are no boundaries or restrictions for the patient. Our system uses a non invasive method i.e., there is no need oh any needle’s or pricking for checking sugar level in the body. For mobiles with Bluetooth and Wi-Fi communication capabilities used by the patients, an algorithm is developed to recognize physiological signal that were built-in in the mobile phone without affecting its original purpose. Our system provides alert management by using an automatic urgency strategy through GSM module. The alert message is sent in severe cases when the patient requires immediate attention. The alert message is sent to the close relatives like guardians of the patient and to an ambulance in worst case scenarios. The alert messages are done to improve the patient’s experience. Our system not only provides alert messages but can also provide dietary plans for the patients, amount of insulin to be taken. The tests have shown that our system can provide a better assistance to the patients suffering from diabetes.

How To Cite

"A Modular approach to diabetic examination with alert system based on IoT", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.2, Issue 5, page no.515 - 517, May-2017, Available :https://ijsdr.org/papers/IJSDR1705090.pdf

Issue

Volume 2 Issue 5, May-2017

Pages : 515 - 517

Other Publication Details

Paper Reg. ID: IJSDR_170456

Published Paper Id: IJSDR1705090

Downloads: 000347028

Research Area: Engineering

Country: Bengaluru, Karnataka, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR1705090

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR1705090

About Publisher

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

Article Preview

academia
publon
sematicscholar
googlescholar
scholar9
maceadmic
Microsoft_Academic_Search_Logo
elsevier
researchgate
ssrn
mendeley
Zenodo
orcid
sitecreex