#Health Sciences
Die FH St. Pölten bündelt im Bereich der Gesundheitswissenschaften Kompetenzen aus Diätologie, Physiotherapie, Gesundheits- und Krankenpflege sowie Digital Healthcare in den Forschungsbereichen Health Promotion & Healthy Ageing, Clinical & Healthcare Research und Education & Lifelong Learning for Health Professionals.
Publikationen
Höld, E., Grüblbauer, J., Wiesholzer, M., Wewerka-Kreimel, D., Stieger, S., Kuschei, W., Kisser, P., Gützer, E., Hemetek, U., Ebner-Zarl, A., & Pripfl, J. (2022). Improving glycemic control in patients with type 2 diabetes mellitus through a peer support instant messaging service intervention (DiabPeerS): study protocol for a randomized controlled trial. Trials, 23(1), 308. https://doi.org/10.1186/s13063-022-06202-2
Slijepcevic, D., Horst, F., Lapuschkin, S., Horsak, B., Raberger, A.-M., Kranzl, A., Samek, W., Breitender, C., Schöllhorn, W., & Zeppelzauer, M. (2022). Explaining Machine Learning Models for Clinical Gait Analysis. ACM Transactions on Computing for Healthcare, 3(2), 14:1-14:27. https://doi.org/10/gnt2s9
Rind, A., Slijepcevic, D., Zeppelzauer, M., Unglaube, F., Kranzl, A., & Horsak, B. (2022). Trustworthy Visual Analytics in Clinical Gait Analysis: A Case Study for Patients with Cerebral Palsy. To Appear in Proc. 3rd IEEE VIS Workshop on TRust and Expertise in Visualization (TREX), 7–15. https://doi.org/10.1109/TREX57753.2022.00006
Anderluh, A., Bichler, R., Heller, M., Michelberger, F., Seel, M., Raffler, C., Hackl, R., & Sempoch, C. (2022). EFFECTS - Intersektorale Wirkungsimplikationen und Potentiale aktiver Mobilität (p. 99) [Projektbericht]. BMK. https://projekte.ffg.at/anhang/62d9322f1abb0_EFFECTS%20Ergebnisbericht.pdf
Anderluh, A. (2022). EFFECTS of Cycling - Ein Plus für Gesundheit, Wirtschaft und Verkehr [Vortrag]. Österreichischer Radgipfel 2022, Wien, 4.-5. April 2022, Wien.
Seel, M., Heller, M., & Anderluh, A. (2022). EFFECTS: Gesundheitliche Bewertung aktiver Mobilität. ÖGPH-Newsletter, 11–13. https://oeph.at/sites/default/public/files/newsletter/%C3%96GPH_Newsletter_M%C3%A4rz_%202022.pdf
Horak, T., Aigner, W., Brehmer, M., Joshi, A., & Tominski, C. (2022). Responsive Visualization Design for Mobile Devices. In B. Lee, E. K. Choe, P. Isenberg, & R. Dachselt (Eds.), Mobile Data Visualization. CRC Press; 10.1201/9781003090823-2. https://www.routledge.com/Mobile-Data-Visualization/Lee-Dachselt-Isenberg-Choe/p/book/9780367534714
Krondorfer, P., Slijepčević, D., Unglaube, F., Kranzl, A., Breiteneder, C., Zeppelzauer, M., & Horsak, B. (2021). Deep learning-based similarity retrieval in clinical 3D gait analysis. Gait & Posture, 90, 127–128. https://doi.org/https://doi.org/10.1016/j.gaitpost.2021.09.066
Schwab, C., Durstberger, S., Kainz, H., Baca, A., Thajer, A., Greber-Platzer, S., Ilse, J., Horsak, B., & Kranzl, A. (2021). Accuracy of 3-dimensional freehand ultrasound to estimate anatomical landmarks in children and adolescents with obesity. Gait & Posture, 90, 232–233. https://doi.org/https://doi.org/10.1016/j.gaitpost.2021.09.120
Dumphart, B., Slijepčević, D., Unglaube, F., Kranzl, A., Baca, A., Zeppelzauer, M., & Horsak, B. (2021). An automated deep learning-based gait event detection algorithm for various pathologies. Gait & Posture, 90, 50–51. https://doi.org/https://doi.org/10.1016/j.gaitpost.2021.09.026