#Motor Rehabilitation
Das Forschungsgebiet Motor Rehabilitation an der FH St. Pölten entwickelt technologiegestützte Ansätze der Bewegungsrehabilitation und fördert deren breiten Einsatz in der klinischen Praxis durch die Kooperation mit Industriepartnerinnen und -partnern.
Publikationen
Horst, F., Slijepcevic, D., Lapuschkin, S., Raberger, A.-M., Zeppelzauer, M., Samek, W., … Horsak, B. (2019). On the Understanding and Interpretation of Machine Learning Predictions in Clinical Gait Analysis Using Explainable Artificial Intelligence. Frontiers in Bioengineering and Biotechnology, Submitted.
Horsak, B., Slijepcevic, D., Raberger, A.-M., Schwab, C., & Zeppelzauer, M. (2019). GaitRec: A large-scale walking GRF dataset for a healthy cohort and patients with musculo-skeletal impairments. Scientific Data, Submitted.
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
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
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.
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.
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