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FH-Prof. Dr. Brian Horsak

  • Senior Researcher Institute of Health Sciences
  • Department of Health Sciences
Location: D - Heinrich Schneidmadl-Straße 15
M: +43/676/847 228 587

Study programmes

  • Digital Healthcare (MA)
  • Physiotherapy (BA)

Departments

  • Health Sciences
  • Media and Digital Technologies

Publications

Thajer, A., Truschner, K., Jorda, A., Skacel, G., Horsak, B., & Greber‐Platzer, S. (2020). A strength and neuromuscular exercise program did not improve body composition, nutrition and psychological status in children with obesity. Acta Paediatrica, epub ahead of print. https://doi.org/10.1111/apa.15498
Slijepcevic, D., Zeppelzauer, M., Schwab, Caterine, Raberger, A.-M., Breitender, C., & Horsak, B. (2020). Input Representations and Classification Strategies for Automated Human Gait Analysis. Gait & Posture, 76, 198–203. https://doi.org/https://doi.org/10.1016/j.gaitpost.2019.10.021
Schwab, C., Durstberger, S., Kranzl, A., & Horsak, B. (2020). Die Anwendung von 3D-Freihand-Ultraschall für die digitale Rekonstruktion von anatomischen Strukturen in der 3D Ganganalyse: erste Ergebnisse eines laufenden Projekts. Abstractband Des 3. GAMMA Kongress. 3. GAMMA Kongress, München, Deutschland.
Horsak, B., Dumphart, B., Slijepcevic, D., & Zeppelzauer, M. (2020). Explainable Artificial Intelligence (XAI) und ihre Anwendung auf Klassifikationsprobleme in der Ganganalyse. Abstractband Des 3. GAMMA Kongress. 3. GAMMA Kongress, München, Deutschland.
Horsak, B., Schwab, C., Baca, A., Greber-Platzer, S., Kreissl, A., Nehrer, S., Keilani, M., Crevenna, R., Kranzl, A., & 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
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
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
Slijepcevic, D., Zeppelzauer, M., Raberger, A.-M., Schwab, C., Schuller, M., Baca, A., Breiteneder, C., & Horsak, B. (2018). Automatic Classification of Functional Gait Disorders. IEEE Journal of Biomedical and Health Informatics, 5(22), 1653–1661. https://doi.org/10.1109/JBHI.2017.2785682
Horsak, B., Wunsch, R., Bernhart, P., Gorgas, A.-M., Bichler, R., & Lampel, K. (2017). Trunk muscle activation levels during eight stabilization exercises used in the functional kinetics concept: A controlled laboratory study. Journal of Back and Musculoskeletal Rehabilitation, 30(3), 497–508. https://doi.org/10.3233/BMR-140259
Horsak, B., Kiener, M., Pötzelsberger, A., & Siragy, T. (2017). Serratus anterior and trapezius muscle activity during knee push-up plus and knee-plus exercises performed on a stable, an unstable surface and during sling-suspension. Physical Therapy in Sport, 0(26), 86–92. https://doi.org/10.1016/j.ptsp.2016.08.003
Horsak, B., Pobatschnig, B., Baca, A., Greber-Platzer, S., Kreissl, A., Nehrer, S., Wondrasch, B., Crevenna, R., Keilani, M., & Kranzl, A. (2017). Within-assessor reliability and minimal detectable change of gait kinematics in a young obese demographic. Gait & Posture, 54. https://doi.org/10.1016/j.gaitpost.2017.02.028
Horsak, B., Dlapka, R., Iber, M., Gorgas, A.-M., Kiselka, A., Gradl, C., Siragy, T., & Doppler, J. (2016). SONIGait: a wireless instrumented insole device for real-time sonification of gait. Journal on Multimodal User Interfaces, 10(3), 195–206. https://doi.org/10.1007/s12193-016-0216-9

Projects