#Motor Rehabilitation

The research area of Motor Rehabilitation at the St. Pölten UAS develops technology-assisted approaches to physical rehabilitation and promotes their widespread use in clinical practice by cooperating with industrial partners.

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

Evaluating technical measuring accuracy

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

Publications

Horsak, B. (2019). Reliabilität von Messergebnissen in der Gang- und Bewegungsanalyse – Erfahrungsbericht zu gängigen Maßzahlen. Invited talk presented at the GAMMA Workshop im Rahmen des 11. Kongress der Deutschen Gesellschaft für Biomechanik, Berlin.
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
Horst, F., Slijepcevic, D., Lapuschkin, S., Raberger, A.-M., Zeppelzauer, M., Samek, W., … Horsak, B. (2019). Preprint: On the Understanding and Interpretation of Machine Learning Predictions in Clinical Gait Analysis Using Explainable Artificial Intelligence. Frontiers in Bioengineering and Biotechnology, Submitted.
Slijepcevic, D., Raberger, A.-M., Zeppelzauer, M., Dumphart, B., Breiteneder, C., & Horsak, B. (2019). On the usefullness 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.
Slijepcevic, D., Zeppelzauer, M., Raberger, A.-M., Breitender, C., Horsak, B., & Horsak, Brian. (2019). Input Representations and Classification Strategies for Automated Human Gait Analysis. Gait & Posture.
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
Zeppelzauer, M. (2018, June). `IntelliGait - Automatic gait pattern analysis for robust classification of functional deficits. Invited talk presented at the Build.Well.Being, St. Pölten, Austria.
Aigner, W. (2018, June). Media-Assisted Healthcare \& Living: Daten besser nutzbar machen mit Interaktiven Technologien. Keynote presented at the ADV e-Health Conference, Vienna.
Bernard, J., Zeppelzauer, M., Sedlmair, M., & Aigner, W. (2018). VIAL – A Unified Process for Visual-Interactive Labeling. The Visual Computer, 34(1189), 16. https://doi.org/10.1007/s00371-018-1500-3
Slijepcevic, D., Zeppelzauer, M., Schwab, C., Raberger, A.-M., Dumphart, B., Baca, A., … Horsak, B. (2018). Towards an optimal combination of input signals and derived representations for gait classification based on ground reaction force measurements. In Gait & Posture Supplement (Vol. 65). Prague, Czech Republic. https://doi.org/10.1016/j.gaitpost.2018.06.155

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