|
Title
|
|
|
|
IoT and big data technologies for monitoring and processing real-time healthcare data
| |
|
Author
|
|
|
|
| |
|
Abstract
|
|
|
|
| Recent advances in pervasive technologies, such as wireless, ad hoc networks, and wearable sensor devices, allow the connection of everyday things to the Internet, commonly denoted as the Internet of Things (IoT). The IoT is seen as an enabler to the development of intelligent and context-aware services and applications. However, handling dynamic and frequent context changes is a difficult task without a real-time event/data acquisition and processing platform. Big data technologies and data analytics have been recently proposed for timely analyzing information (i.e., data, events) streams. The main aim is to make users' life more comfortable according to their locations, current requirements, and ongoing activities. In this article, combining IoT techniques and Big data technologies into a holistic platform for continuous and real-time health-care data monitoring and processing is introduced. Real-testing experiments have been conducted and results are reported to show the usefulness of this platform in a real-case scenario. |
| |
|
Language
|
|
|
|
English
| |
|
Source (journal)
|
|
|
|
International journal of distributed systems and technologies
| |
|
Publication
|
|
|
|
2019
| |
|
DOI
|
|
|
|
10.4018/IJDST.2019100102
| |
|
Volume/pages
|
|
|
|
10
:4
(2019)
, p. 17-30
| |
|
ISI
|
|
|
|
000511357800002
| |
|
Full text (Publisher's DOI)
|
|
|
|
| |
|
Full text (publisher's version - intranet only)
|
|
|
|
| |
|