#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
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.
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). 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.
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
Rind, A., Wagner, M., & Aigner, W. (2019). Towards a Structural Framework for Explicit Domain Knowledge in Visual Analytics. In Proc. Workshop on Visual Analytics in Healthcare (VAHC 2019).
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
Horsak, B., Pobatschnig, B., Schwab, C., Baca, A., Kranzl, A., & Kainz, H. (2018). Reliability of joint kinematic calculations based on direct kinematic and inverse kinematic models in obese children. Gait & Posture. https://doi.org/10.1016/j.gaitpost.2018.08.027
Wagner, M., Slijepcevic, D., Horsak, B., Rind, A., Zeppelzauer, M., & Aigner, W. (2018). KAVAGait: Knowledge-Assisted Visual Analytics for Clinical Gait Analysis. IEEE Transactions on Visualization and Computer Graphics (TVCG), 25(3), 1528–1542. https://doi.org/10.1109/TVCG.2017.2785271
Horsak, B., Schwab, C., Clemens, C., Baca, A., Greber-Platzer, S., Kreissl, A., & Kranzl, A. (2018). Is the reliability of 3D kinematics of young obese participants dependent on the hip joint center localization method used? Gait & Posture, (59), 65–70. https://doi.org/10.1016/j.gaitpost.2017.09.029
Schwab, C., Slijepcevic, D., Zeppelzauer, M., Raberger, A.-M., Dumphart, B., Baca, A., … Horsak, B. (2018). IntelliGait: Automatische Gangmusteranalyse für die robuste Erkennung von Gangstörungen. In Tagungsband des 2ten GAMMA Kongress (Gesellschaft für die Analyse Menschlicher Motorik in ihrer klinischen Anwendung). Hamburg, Deutschland.