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A remote health monitoring system featuring relational databases
Publication Type:
Conference/Workshop Paper
Venue:
Medicinteknikdagarna 2017
Abstract
Remote health monitoring (RHM) through the use of wearable wireless sensors, has drawn a lot of attention from
academia and industry in the last decade [1,2]. The aging population, increasing cost of health-care, and lack of
human resources in healthcare, are the three key motivators for the development of RHM [3,4]. The RHM systems
should reduce health care costs and improve care quality.
How to ensure a reliable and secure data collection from sensor devices to stake holders in RHM systems, is an
open research question. The most established data storage technology that can ensure the security and privacy of
data is the relational database management systems (RDBMSs). Besides security, RDBMSs provide a number of
additional convenient features like querying the data, indexing, backups, replication, but are however in general
slower than storing the data directly in a file system. Presented is a RHM system with a RDBMS in its core. The
system was developed for the needs of ESS-H research profile [5] at Mälardalen University, Sweden.
We also present a comprehensive system design which covers all the needs for the RHM application. The system
is composed of four main components: (I) Shimmer sensors [6], (II) data acquisition layer (LabVIEW or C#.NET
program), (III) RDBMS, and (IV) web service and web interface. The system communicates with the Shimmer
sensors over Bluetooth and collects measurements in a relational database, either through a C#.NET or a
LabVIEW program. The web service and a web interface are both written in PHP and are running on the Apache
HTTP Server. The end-user is able to observe either real-time data (i.e. with insignificant delay) or processed
historical data on any web browser. The advantage of using the web interface instead of a desktop application is
that it makes the presentation layer easily accessible and platform independent.
The RDBMSs provide data security and privacy in addition to other convenient features. Therefore, it is beneficial
to incorporate RDBMSs in RHM systems. However, the RDBMSs provide no solution for security and privacy
issues in wireless communication which is another research problem.
Bibtex
@inproceedings{Petrovic4983,
author = {Nikola Petrovic and Hossein Fotouhi and Ivan Tomasic and Mats Bj{\"o}rkman and Maria Lind{\'e}n},
title = {A remote health monitoring system featuring relational databases },
month = {October},
year = {2017},
booktitle = {Medicinteknikdagarna 2017},
url = {http://www.es.mdu.se/publications/4983-}
}
