TY - CHAP A1 - Haug, Sonja A1 - Altenbuchner, Amelie A1 - Lochner, Susanne A1 - Huber, Dominik ED - Klein, Lisa ED - Hübner, Ann-Kathrin ED - Munser-Kiefer, Meike T1 - Ausgewählte Ergebnisse aus der Studie "Asylsuchende in Bayern" T2 - Nach der Flucht - Interdisziplinäre Perspektiven eines Netzwerks von Hochschulen und Zivilgesellschaft Y1 - 2019 UR - https://epub.uni-regensburg.de/41311/1/1218_Nach%20der%20Flucht_Final.pdf SP - 12 EP - 32 PB - Campus Asyl CY - Regensburg ER - TY - CHAP A1 - Lochner, Susanne A1 - Huber, Dominik A1 - Haug, Sonja A1 - Altenbuchner, Amelie A1 - Currle, Edda ED - David, Alexandra ED - Evans (Hrsg.), Michaela ED - Hamburg (Hrsg.), Eleana ED - Terstriep (Hrsg.), Judith T1 - Ressourcen, Erfahrungen und Ziele von Asylsuchenden T2 - Migration und Arbeit. Herausforderungen, Problemlagen und Gestaltungsinstrumente Y1 - 2019 SN - 978-3-8474-2161-0 SP - 211 EP - 234 PB - Verlag Barbara Budrich CY - Opladen ER - TY - CHAP A1 - Altenbuchner, Amelie A1 - Weber, Karsten A1 - Fuchs, Dominik ED - Friedrich, Petra ED - Fuchs, Dominik T1 - Nützlichkeit und Nutzung BT - Technikakzeptanz und Technikbewertung von AAL T2 - Assistive Technik für selbstbestimmtes Wohnen, 6. Ambient Medicine® Forum 19.-20. Februar 2019 KW - AAL-Technik KW - Technikbewertung KW - Akzeptanz KW - Technik KW - Risiko Y1 - 2019 SP - 149 EP - 156 PB - Cuvillier CY - Göttingen ER - TY - CHAP A1 - Altenbuchner, Amelie A1 - Haug, Sonja A1 - Weber, Karsten ED - Hayn, Dieter ED - Eggerth, A. ED - Schreier, Günter T1 - Exploratory Analysis of Motion Tracking Data in the Rehabilitation Process of Geriatric Trauma Patients T2 - Studies in Health Technology and Informatic. Volume 260: dHealth 2019 - From eHealth to dHealth N2 - Background: This article is based on an ongoing long-term study, in which customary motion trackers measure steps during rehabilitation of geriatric trauma patients (Med=86 years). Objectives: Exploring steps after 28 days of measurement. Finding similarities in the data by running cluster analysis and formulating linear regressions models to predict steps through time. Methods: Two types of motion trackers (FitBitAlta HR and Garmin vívofit 3) have been used to measure patients' (N=24) steps after hip fracture in two study groups. Cluster analysis detected three clusters for progress in number of steps that were tested for group differences with ANOVA. Regression analysis tested models for individual patients. Results: Three-cluster solutions showed significant differences for the average amount of steps after 5, 14, 21 and 28 days. Regression models could predict 71 % of the individual patients' progress in study group 2. Conclusion: The long-term study will provide more data in the future to examine the three-cluster solution and to find out in what stage of rehabilitation the measurement of the steps could be used to predict individual rehabilitation. Y1 - 2019 U6 - https://doi.org/10.3233/978-1-61499-971-3-138 SP - 138 EP - 145 PB - IOS Press ER -