A Study on IoT based m-Health Systems for Diabetes
Journal Title: International Journal of Innovative Research in Computer Science and Technology - Year 2022, Vol 10, Issue 2
Abstract
This article provides an overview of the newest mobile health apps based on Internet of Things that are utilized for diabetes control. Diabetic is a group of metabolism illnesses characterized by persistently increased glucose content. Long-term hyperglycemia management requires the involvement of individuals, doctors, and familial careers. With rapid advancements in cellular and network technologies, a range of World wide web of Things-based solutions for diabetic’s management have already been proposed. The majority of these apps are focused on medical observation and technology-assisted selection. We look at how these new applications work and their basic technology, as well as the major issues and difficulties they face. The major goal of this paper is to aid academics in the development of better diabetic management applications.
Authors and Affiliations
Farminder Singh
Exploring the Efficacy of Basketball Shooting: A Comprehensive Analysis of Success Rates
The present study evaluated success rate of basketball shooting for different skill levels. A total of 10 subjects (5 skilled and 5 unskilled) participated in this study. The main goal of the study was to provide the pre...
A New Mechanism of Free-Radical Nonbranched-Chain Oxidation: Oxygen as an Antioxidant
—New reaction scheme is suggested for the initiated nonbranched-chain addition of free radicals to the multiple bond of the molecular oxygen. The scheme includes the addition reaction of the peroxyl free radical to the o...
Comparison of Image Compression Techniques: Huffman and DCT
The need for an efficient technique for compression of Images is ever increasing because the raw images need large amounts of disk space seems to be a big disadvantage during transmission and storage. Image compression i...
The Major Effect in the Privacy Select to Run Client Server
Because server client systems frequently store data and process data both on the client and on the server, this sort of system contingency planning should take into consideration potential system failures on the server o...
Non-Linear Adaptive Temporal Compression of Satellite Images
Frequently collected multitemporal multispectral images mostly present strong temporal redundancies that can be exploited for data compression in temporal domain considering the fact that the user already has a previous...