Details zur Publikation

Referenztyp Tagungsbeiträge
DOI / URL Link
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.
Journal / Serie 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