Authors:
Petr Ježek
and
Roman Mouček
Affiliation:
University of West Bohemia, Czech Republic
Keyword(s):
ANT+, NIX, Sensor, Data/metadata Storage, EEGBase, Data Format, eHealth.
Related
Ontology
Subjects/Areas/Topics:
Biomedical Engineering
;
Cloud Computing
;
Distributed and Mobile Software Systems
;
e-Health
;
Health Engineering and Technology Applications
;
Health Information Systems
;
ICT, Ageing and Disability
;
Mobile Technologies
;
Mobile Technologies for Healthcare Applications
;
Neural Rehabilitation
;
Neurotechnology, Electronics and Informatics
;
Platforms and Applications
;
Software Engineering
;
Software Systems in Medicine
;
Telemedicine
Abstract:
Medical treatment of sudden and especially chronic diseases has become more expensive. People suffering
from a variety of diseases had been traditionally treated in hospitals for a long time. Fortunately, the current
situation has been changing also thanks to relatively cheap body sensors and development of systems for
home treatment. It brings inconsiderable cost savings and improves patients’ comfort. On the other hand,
it puts demands on the used technical infrastructure and home treatment system developers who must solve
integration of different systems. A crucial point is a definition of unified data formats facilitating transfer and
storage of data to/in remote databases. There are standards and APIs such as Zigbee, Bluetooth low energy or
ANT+ that define a protocol for data transfer. However, they do not define a suitable format for long term data
storing. In this paper, data coming from ANT+ sensors have been studied and metadata related to all kinds of
body sensors and raw
data and metadata specific to individual sensors have been defined. Then a framework
organizing data and metadata obtained from ANT+ sensors into an open and general data format suitable for
long term storage of sensor data is introduced. Finally, a sample use-case showing the transfer of data from
a sensor into a data storage is presented.
(More)