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Generic sensor framework enabling personalized healthcare

 
: Beckmann, S.; Lahmer, S.; Markgraf, M.; Meindl, O.; Rauscher, J.; Regal, C.; Gimpel, H.; Bauer, B.

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Institute of Electrical and Electronics Engineers -IEEE-:
IEEE Life Sciences Conference (LSC) 2017 : 13-15 Dec. 2017
Piscataway, NJ: IEEE, 2017
ISBN: 978-1-5386-1030-5
ISBN: 978-1-5386-1031-2
S.83-86
International Life Sciences Conference (LSC) <1, 2017, Sydney>
Englisch
Konferenzbeitrag
Fraunhofer FIT ()

Abstract
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.

: http://publica.fraunhofer.de/dokumente/N-518610.html