MOPS - a feasibility study for working with GPS and sensor data in a medical context

• Autorzy: Meigen Christof , Vogel Mandy , Bumberger Jan

Identyfikatory

DOI

10.15439/2019F328

• Konferencja: Federated Conference on Computer Science and Information Systems (14 ; 01-04.09.2019 ; Leipzig, Germany)
• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

biomedical equipment; Global Positioning System; medical computing; mobile computing; sensor

PL

sprzęt biomedyczny; Globalny System Pozycjonowania; informatyka medyczna; komputer mobilny; czujnik

• Wydawca: Polskie Towarzystwo Informatyczne
• Czasopismo: Annals of Computer Science and Information Systems
• Rocznik: 2019
• Tom: Vol. 18
• Strony: 621--624
• Opis fizyczny: Bibliogr. 7 poz., rys., tab.

Twórcy

autor

Meigen Christof

• Leipzig Research Center for Civilization Diseases – LIFE Child

autor

Vogel Mandy

• Center for Pediatric Research Leipzig, University Hospital for Children and Adolescents

autor

Bumberger Jan

• Helmholtz-Centre for Environmental Research - UfZ

Bibliografia

• 1. Kirsten T., Bumberger J. et al. (2017), “Research in Progress on integrating Health and Environmental Data in Epidemiological Studies,” In Abramowicz W., Alt R., Franczyk B. (eds) Business Information Systems Workshops. BIS 2016. Lecture Notes in Business Information Processing, vol 263. Springer, Cham, http://dx.doi.org/10.1007/978-3-319-52464-1_32
• 2. World Medical Association. (2001), “World Medical Association Declaration of Helsinki. Ethical principles for medical research involving human subjects”, Bulletin of the World Health Organization, 79 (4), 373 - 374. World Health Organization. http://www.who.int/iris/handle/10665/268312
• 3. Paul A. Harris, Robert Taylor, Robert Thielke, Jonathon Payne, Nathaniel Gonzalez, Jose G. Conde (2009), “Research electronic data capture (REDCap) - A metadata-driven methodology and workflow process for providing translational research informatics support”, J Biomed Inform. 2009 Apr;42(2):377-81, dio: 10.1016/j.jbi.2008.08.010
• 4. M Lablans, A Borg, F Ückert (2015), “A RESTful interface to pseudonymization services in modern web applications”, BMC Med Inform Decis Mak. 2015 Feb 7;15:2. http://dx.doi.org/10.1186/s12911-014-0123-5.
• 5. Wilkinson MD, Dumontier M, Jan Aalbersberg I, et al. (2016), “The FAIR Guiding Principles for scientific data management and stewardship”, Sci Data. 2016(3), article number 160018, http://dx.doi.org/10.1038/s-data.2016.18
• 6. Pommerening K, Drepper J, Helbing K, Ganslandt T (2014), “Leitfaden zum Datenschutz in medizinischen Forschungsprojekten - Generische Lösungen der TMF 2.0”, ISBN: 978-3-95466-123-7
• 7. Courtès L, Wurmus R (2015): “Reproducible and User-Controlled Software Environments in HPC with Guix” In Euro-Par 2015: Parallel Processing Workshops, 579-591, Springer International Publishing, Cham, http://dx.doi.org/10.1007/978-3-319-27308-2_47

Uwagi

1. Track 4: Information Systems and Technology

2. Technical Session: 1st Workshop on Data Analysis and Computation for Digital Ecosystems

3. Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).