#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., Rathmanner, T., & Heller, M. (2025). Teenage Body Image Perception, Body-shaping Behavior, and Body Composition With Respect to Use of “Fitspiration”: Exploratory Investigation Study. JMIR Formative Research, 9, e70964. https://doi.org/10.2196/70964
Slijepčević, D., Ladner, S., Judmaier, P., Zeppelzauer, M., Kranzl, A., & Horsak, B. (2025). AI applications and data annotation practices in clinical gait analysis: Initial insights from a survey of ESMAC and GAMMA members. Gait & Posture, ESMAC 2025 Abstract, 121, 229–230. https://doi.org/10.1016/j.gaitpost.2025.07.246
Krondorfer, P., Slijepčević, D., Kranzl, A., Zeppelzauer, M., & Horsak, B. (2025). Predicting joint contact forces using a combination of kinematics, anthropometrics, and demographics with explainable artificial intelligence. Gait & Posture, ESMAC 2025 Abstract, 121, 126–128. https://doi.org/10.1016/j.gaitpost.2025.07.139
Höld, E., Größbacher, S., Kramml, P., Zeppelzauer, M., Prokop, B., Heller, M., & Rathmanner, T. (2025). Fit for #fitspiration: Human-Centred Design of a Blended Learning Course for Upper Secondary Schools. Technology, Knowledge and Learning. https://doi.org/10.1007/s10758-025-09871-5
Engelmann, B., Dumphart, B., Nehrer, S., Neubauer, M., Nowak, C., Wondrasch, B., & Horsak, B. (2025). ACCESS: Markerlose Bewegungsanalyse für die alltägliche Praxis – Neue Perspektiven bei Kniearthrose? Abstractband: 18. Forschungsforum der österreichischen Fachhochschulen : 7. - 8. Mai 2025, 38–40. https://doi.org/10.34895/hcw.0027
Dindorf, C., Horst, F., Slijepcevic, D., Dumphart, B., Dully, J., Zeppelzauer, M., Horsak, B., & Fröhlich, M. (2024). Machine Learning in Biomechanics: Key Applications and Limitations in Walking, Running and Sports Movements (pp. 91–148). https://doi.org/10.1007/978-3-031-76047-1_4
Dindorf, C., Horst, F., Slijepčević, D., Dumphart, B., Dully, J., Zeppelzauer, M., Horsak, B., & Fröhlich, M. (2024). From lab to field with machine learning – Bridging the gap for movement analysis in real-world environments: A commentary. Current Issues in Sport Science (CISS), 9(4), 014–014. https://doi.org/10.36950/2024.4ciss014
Slijepcevic, D., Krondorfer, P., Unglaube, F., Kranzl, A., Zeppelzauer, M., & Horsak, B. (2024). Predicting ground reaction forces in overground walking from gait kinematics using machine learning. Gait & Posture, ESMAC Abstracts 2024, 113, 214–215. https://doi.org/10.1016/j.gaitpost.2024.07.231
Horst, F., Slijepcevic, D., Schöllhorn, W. I., Horsak, B., & Zeppelzauer, M. (2024). Explainable artificial intelligence for walking speed classification from vertical ground reaction forces. Gait & Posture, ESMAC Abstracts 2024, 113, 215–216. https://doi.org/10.1016/j.gaitpost.2024.07.232
Krondorfer, P., Slijepčević, D., Unglaube, F., Kranzl, A., Zeppelzauer, M., Kainz, H., & Horsak, B. (2024). Predicting knee contact forces in walking: A comparative study of machine learning models including a physics-informed approach. Gait & Posture, ESMAC Abstracts 2024, 113, 125–126. https://doi.org/10.1016/j.gaitpost.2024.07.140