Information and communication technology plays an increasingly important role in the healthcare system. Digital Health research takes place at the interface between healthcare, social sciences and digitalisation – among the results are healthcare apps and improved methods for research, diagnosis, therapy and rehabilitation.
Endowed professorship of the province of Lower Austria to strengthen and expand the research focus on motor rehabilitation
E+DIETing_LAB- Digital Lab for Education in Dietetics combining Experiential Learning and Community Service
New ways of educating and upskilling teachers, students and experts in the field of dietetics.
Equipping devices for everyday use with voice interaction, fall detection and alerts as support in cases of emergency.
O3DGA – The Use of Machine Learning as a Supportive Measure in Clinical Three-Dimensional Gait Analysis
Optimisation of time-consuming and error-prone processes in three-dimensional gait analysis.
Promoting University of Applied Sciences as innovation and entrepreneurship centres for Digital Health
Proof of Concept of an interdisciplinary online-course offering guidance on how to deal critically with information provided by social media sites.
Aligning interprofessional education and collaboration in practice, using promising regional experiences for international exchange
Evaluation of the effectiveness of rehabilitation measures after reconstruction of the anterior cruciate ligament using simplified gait analysis
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
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
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
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
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
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
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
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.
Thajer, A., Skacel, G., Truschner, K., Jorda, A., Vasek, M., Horsak, B., Strempfl, J., Kautzky-Willer, A., Kainberger, F., & Greber-Platzer, S. (2021). Comparison of Bioelectrical Impedance-Based Methods on Body Composition in Young Patients with Obesity. Children, 8(4), 295. https://doi.org/https://doi.org/10.3390/children8040295