Details zur Publikation |
Kategorie | Textpublikation |
Referenztyp | Buchkapitel |
DOI | 10.15439/2019F328 |
Titel (primär) | MOPS – A feasibility study for working with GPS and sensor data in a medical context |
Titel (sekundär) | Proceedings of the 2019 Federated Conference on Computer Science and Information Systems, September 1–4, 2019, Leipzig, Germany |
Autor | Meigen, C.; Vogel, M.; Bumberger, J. |
Herausgeber | Ganzha, M.; Maciaszek, L.; Paprzycki, M. |
Quelle | Annals of Computer Science and Information Systems |
Erscheinungsjahr | 2019 |
Department | MET |
Band/Volume | 18 |
Seite von | 621 |
Seite bis | 624 |
Sprache | englisch |
Abstract | New kinds of data collection like GPS-tracking, wearable sensors and mobile apps impose both technical and privacy challanges for medical research. In the MOPS study (''Machbarkeitsstudie für Ortsbezogene Parameter und Sensordaten'' - feasibility study for geocoded parameters and sensor data) we provide participants with a newly developed app and sensors for various physical and environmental parameters. We want to explore the feasibility of the recently established Medical Research Platform of the Medical Faculty of the University of Leipzig and similar platforms for this kind of data collection and processing. |
dauerhafte UFZ-Verlinkung | https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=22291 |
Meigen, C., Vogel, M., Bumberger, J. (2019): MOPS – A feasibility study for working with GPS and sensor data in a medical context In: Ganzha, M., Maciaszek, L., Paprzycki, M. (eds.) Proceedings of the 2019 Federated Conference on Computer Science and Information Systems, September 1–4, 2019, Leipzig, Germany Annals of Computer Science and Information Systems 18 Polish Information Processing Society, Warsaw, p. 621 - 624 10.15439/2019F328 |