#Health Sciences

Under the heading of Health Sciences, the St. Pölten UAS combines expertise from the fields of dietetics, physiotherapy, healthcare and nursing, and digital healthcare in the research areas of Health Promotion & Healthy Ageing, Clinical & Healthcare Research and Education & Lifelong Learning for Health Professionals.


ELSA- Evaluation of simple gait analysis devices

Evaluation of the effectiveness of rehabilitation measures after reconstruction of the anterior cruciate ligament using simplified gait analysis


Evaluation of the accuracy of non-invasive hip joint centre estimation methods for clinical gait analysis in children and adolescents


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
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
Anderluh, A. (2022). EFFECTS of Cycling - Ein Plus für Gesundheit, Wirtschaft und Verkehr. Österreichischer Radgipfel 2022, Wien, 4.-5. April 2022, Wien.
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
Horsak, B., Simonlehner, M., Schöffer, L., Dumphart, B., Jalaeefar, A., & Husinsky, M. (2021). Overground walking in a fully immersive Virtual Reality: Preliminary results of a comprehensive study on the effects on walking biomechanics. Gait & Posture, 90, 100–101. https://doi.org/https://doi.org/10.3389/fbioe.2021.780314
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
Horst, F., Slijepcevic, D., Simak, M., & Schöllhorn, W. I. (2021). Gutenberg Gait Database, a ground reaction force database of level overground walking in healthy individuals. Scientific Data, 8(1), 232. https://doi.org/https://doi.org/10.1038/s41597-021-01014-6
Aigner, W. (2021, March 23). Visual Analytics for Time-Oriented Data [Invited Talk]. ERFA Industrial Data & Analytics - Zeitreihenanalyse, Kremsmünster, Austria.