Fog Data Analytics: Diabetic Patients Monitoring Using Wearable IoT Sensors

被引：1

作者：

Baig, Abdul Rauf ^{[1
]}

Hasanat, Mozaherul Hoque Abul ^{[1
]}

Alsahli, Abdulaziz ^{[1
]}

机构：

[1] Imam Mohammad Ibn Saud Islamic Univ IMSIU, Coll Comp & Informat Sci, Dept Informat Syst, Riyadh, Saudi Arabia

来源：

INTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND NETWORK SECURITY | 2022年 / 22卷 / 04期

关键词：

IoT; fog computing; health care; diabetics; INTERNET; THINGS;

D O I：

10.22937/IJCSNS.2022.22.4.71

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Internet of things (IoT) is exceedingly permeating our daily lives and innovative solutions are being proposed to enrich our lives. In this paper we combine wearable IoT sensors and fog analytics to provide a solution for monitoring of diabetic patients. We report our system architecture and our experience in developing and testing a prototype based on this architecture. The system can be generalized into a patient-centric IoT eHealth ecosystem with a multi-layer architecture. There are several challenges related to our diabetics monitoring system such as data management, scalability, regulations, inter-operability, device-network-human interfaces, security and privacy.

引用

页码：603 / 612

页数：10

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