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Generic Sensor Framework enabling Personalized Healthcare

Title data

Beckmann, Sven ; Lahmer, Stefanie ; Markgraf, Moritz ; Meindl, Oliver ; Rauscher, Julia ; Regal, Christian ; Gimpel, Henner ; Bauer, Bernhard:
Generic Sensor Framework enabling Personalized Healthcare.
2017
Event: IEEE Life Sciences Conference , 13.-15.12 2017 , Sydney, Australia.
(Conference item: Conference , Speech )

Official URL: Volltext

Abstract in another language

Data and sensor fusion can enable clinical healthcare systems to improve conditions of a patient. However,hospitals are not the only application field of connected medical devices. Domestic monitoring gets more important day by day and applies Internet of Things with mobile sensors, like wearables. Through data processing data is transferred to smart data and personalized recommendations are improvable, if sensors can be chosen individually. Therefore, we developed a generic medical sensor framework which is able to merge any needed sensor and collect data to improve personalized health of an individual. To evaluate our framework and to prove the added value of sensor fusion we present a sensor-based stress detection game.

Further data

Item Type: Conference item (Speech)
Refereed: Yes
Keywords: Sensors Fusion; Wearables; Data Processing; Framework, Personalized
Institutions of the University: Faculties > Faculty of Law, Business and Economics > Department of Business Administration
Research Institutions
Research Institutions > Affiliated Institutes
Research Institutions > Affiliated Institutes > Fraunhofer Project Group Business and Information Systems Engineering
Research Institutions > Affiliated Institutes > FIM Research Center Finance & Information Management
Faculties
Faculties > Faculty of Law, Business and Economics
Result of work at the UBT: No
DDC Subjects: 000 Computer Science, information, general works > 004 Computer science
300 Social sciences > 330 Economics
Date Deposited: 22 Dec 2017 06:59
Last Modified: 22 Dec 2017 06:59
URI: https://eref.uni-bayreuth.de/id/eprint/41072