Efficient Processing of Geospatial mHealth Data Using a Scalable Crowdsensing Platform
Kraft, Robin
, Birk, Ferdinand, Reichert, Manfred, Deshpande, Aniruddha , Schlee, Winfried, Langguth, Berthold, Baumeister, Harald, Probst, Thomas , Spiliopoulou, Myra and Pryss, Rüdiger
(2020)
Efficient Processing of Geospatial mHealth Data Using a Scalable Crowdsensing Platform.
Sensors 20 (12), p. 3456.
Date of publication of this fulltext: 11 Oct 2021 12:47
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| Item type | Article | ||||
| Journal or Publication Title | Sensors | ||||
| Publisher: | MDPI | ||||
|---|---|---|---|---|---|
| Place of Publication: | BASEL | ||||
| Volume: | 20 | ||||
| Number of Issue or Book Chapter: | 12 | ||||
| Page Range: | p. 3456 | ||||
| Date | 2020 | ||||
| Institutions | Medicine > Lehrstuhl für Psychiatrie und Psychotherapie | ||||
| Identification Number |
| ||||
| Keywords | GAMES; mHealth; crowdsensing; tinnitus; geospatial data; cloud-native; stream processing; scalability; architectural design | ||||
| Dewey Decimal Classification | 600 Technology > 610 Medical sciences Medicine | ||||
| Status | Published | ||||
| Refereed | Yes, this version has been refereed | ||||
| Created at the University of Regensburg | Yes | ||||
| Item ID | 49961 |
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