#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.

Projects

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

HIPstar

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

VisOnFire. Understanding and visualizing workflows

Visual Analysis of Large and Heterogeneous Scientific Workflows for Analytical Provenance. - A new visual forensic tool realizes the visualisation of data analysis workflows and helps to increase the ...

Evaluating technical measuring accuracy

Evaluating the technical measuring accuracy of a 3D monitoring system for the continuous tracking of lumbar spine movements

Publications

Slijepcevic, D., Zeppelzauer, M., Schwab, Caterine, Raberger, A.-M., Breitender, C., & Horsak, B. (2020). Input Representations and Classification Strategies for Automated Human Gait Analysis. Gait & Posture, 76, 198–203. https://doi.org/https://doi.org/10.1016/j.gaitpost.2019.10.021
Schwab, C., Durstberger, S., Kranzl, A., & Horsak, B. (2020). Die Anwendung von 3D-Freihand-Ultraschall für die digitale Rekonstruktion von anatomischen Strukturen in der 3D Ganganalyse: erste Ergebnisse eines laufenden Projekts. In Abstractband des 3. GAMMA Kongress. München, Deutschland.
Horsak, B., Dumphart, B., Slijepcevic, D., & Zeppelzauer, M. (2020). Explainable Artificial Intelligence (XAI) und ihre Anwendung auf Klassifikationsprobleme in der Ganganalyse. In Abstractband des 3. GAMMA Kongress. München, Deutschland.
Horsak, B., Slijepcevic, D., Raberger, A.-M., Schwab, C., Worisch, M., & Zeppelzauer, M. (2020). GaitRec, a large-scale ground reaction force dataset of healthy and impaired gait. Scientific Data, 7(1), 143. https://doi.org/10.1038/s41597-020-0481-z
Horsak, B., Schwab, C., Baca, A., Greber-Platzer, S., Kreissl, A., Nehrer, S., … Wondrasch, B. (2019). Effects of a lower extremity exercise program on gait biomechanics and clinical outcomes in children and adolescents with obesity: A randomized controlled trial. Gait & Posture, ePub ahead of print. https://doi.org/10.1016/j.gaitpost.2019.02.032
Horsak, B., Schwab, C., & Kranzl, A. (2019). Reliability of stair walking kinematics in young overweight and obese individuals. Poster presented at the 28th Annual Meeting of the European Society for Movement Analysis in Adults and Children (ESMAC), Amsterdam, Netherlands.
Slijepcevic, D., Raberger, A.-M., Zeppelzauer, M., Dumphart, B., Breiteneder, C., & Horsak, B. (2019). On the usefulness of statistical parameter mapping for feature selection in automated gait classification. In Book of Abstracts of the 25th Conference of the European Society of Biomechanics (ESB) (p. 1). Vienna, Austria.
Rind, A., Wagner, M., & Aigner, W. (2019). Towards a Structural Framework for Explicit Domain Knowledge in Visual Analytics. In Proc. IEEE Workshop on Visual Analytics in Healthcare (VAHC) (pp. 33–40). https://doi.org/10.1109/VAHC47919.2019.8945032
Gäbler, J., Winkler, C., Lengyel, N., Wallner, G., Aigner, W., Stoiber, C., & Kriglstein, S. (2019). Diagram Safari: A Visualization Literacy Game for Young Children. In Proceedings of CHI PLAY 2019. Barcelona, Spain: ACM Press.
Stoiber, C., Grassinger, F., Pohl, M., Stitz, H., Streit, M., & Aigner, W. (2019). Visualization Onboarding: Learning How to Read and Use Visualizations. In IEEE Workshop on Visualization for Communication. Vancouver, BC, Canada: IEEE.

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