Mobile Mining and Information Management in HealthNet Scenarios

Health and mobility of elderly people is gaining importance
in aging societies. New communication-based methods
to provide health services with personal health care devices are
considered promising elements of first-class medical care services
for everybody. To achieve this vision, several technological issues
have to be solved: (i) body sensors to monitor vital functions have
to be developed; (ii) these sensors should be integrated into textile
structures to guarantee ease of use and patient acceptance; (iii)
the collected sensor data has to be analyzed to detect emergency
situations and to reduce the data volume; (iv) relevant data has
to be integrated with other information systems in the work
environment of medical experts. These challenges are addressed
within the HealthNet project at RWTH Aachen University. The
goal of the project is to develop a framework in which health
professionals can remotely monitor and diagnose mobile patients.
The described demonstration presents our results of the first
three issues mentioned above while focussing on the employed
data mining and management techniques.

Authors: Kranen P., Kensche D., Kim S., Zimmermann N., Müller E., Quix C., Li X., Gries T., Seidl T., Jarke M., Leonhardt S.
Published in: Proceedings of the 9th IEEE MDM International Conference on Mobile Data Management (MDM 2008), Beijing, China
Publisher: IEEE Computer Society - Washington, USA
Sprache: EN
Jahr: 2008


Seiten: 215-216
ISBN: 978-0-7695-3154-0
Konferenz: MDM
URL:MDM 2008
Typ: Tagungsbeiträge
Forschungsgebiet: Data Analysis and Knowledge Extraction