Publikationen
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2023
Holder, J., Stief, F., van Drongelen, S., & Horsak, B. (2023). A comparative analysis of kinematic simulation results obtained by manually and automated scaled OpenSim models during walking – preliminary findings. Gait & Posture, 106, S80–S82. https://doi.org/10.1016/j.gaitpost.2023.07.099
Horsak, B., Eichmann, A., Lauer-Maier, K., Prock, K., & Dumphart, B. (2023). Concurrent assessment of a smartphone-based markerless and marker-based motion capture system in pathological gait. Gait & Posture, 106, S79–S80. https://doi.org/10.1016/j.gaitpost.2023.07.098
Horsak, B., Simonlehner, M., Dumphart, B., & Siragy, T. (2023). Overground walking while using a virtual reality head mounted display increases variability in trunk kinematics and reduces dynamic balance in young adults. Virtual Reality. https://doi.org/10.1007/s10055-023-00851-7
Horsak, B., Eichmann, A., Lauer, K., Prock, K., Krondorfer, P., Siragy, T., & Dumphart, B. (2023). Concurrent validity of smartphone-based markerless motion capturing to quantify lower-limb joint kinematics in healthy and pathological gait. Journal of Biomechanics, 159, 111801. https://doi.org/10.1016/j.jbiomech.2023.111801
Horst, F., Slijepcevic, D., Simak, M., Horsak, B., Schöllhorn, W. I., & Zeppelzauer, M. (2023). Modeling biological individuality using machine learning: A study on human gait. Computational and Structural Biotechnology Journal, 21, 3414–3423. https://doi.org/10.1016/j.csbj.2023.06.009
Neubauer, M., Moser, L., Neugebauer, J., Raudner, M., Wondrasch, B., Führer, M., Emprechtinger, R., Dammerer, D., Ljuhar, R., Salzlechner, C., & Nehrer, S. (2023). Artificial-Intelligence-Aided Radiographic Diagnostic of Knee Osteoarthritis Leads to a Higher Association of Clinical Findings with Diagnostic Ratings. Journal of Clinical Medicine, 12(3), 744. https://doi.org/10.3390/jcm12030744
Siragy, T., Russo, Y., Young, W., & Lamb, S. E. (2023). Comparison of over-ground and treadmill perturbations for simulation of real-world slips and trips: A systematic review. Gait & Posture, 100, 201–209. https://doi.org/10.1016/j.gaitpost.2022.12.015
Slijepcevic, D., Horst, F., Simak, M., Schöllhorn, W. I., Zeppelzauer, M., & Horsak, B. (2023). Towards personalized gait rehabilitation: How robustly can we identify personal gait signatures with machine learning? Gait & Posture, 106, S192–S193. https://doi.org/10.1016/j.gaitpost.2023.07.232
Slijepcevic, D., Zeppelzauer, M., Unglaube, F., Kranzl, A., Breiteneder, C., & Horsak, B. (2023). Towards more transparency: The utility of Grad-CAM in tracing back deep learning based classification decisions in children with cerebral palsy. Gait & Posture, 100, 32–33. https://doi.org/10.1016/j.gaitpost.2022.11.045
Slijepcevic, D., Zeppelzauer, M., Unglaube, F., Kranzl, A., Breiteneder, C., & Horsak, B. (2023). Explainable Machine Learning in Human Gait Analysis: A Study on Children With Cerebral Palsy. IEEE Access, 11, 65906–65923. https://doi.org/10.1109/ACCESS.2023.3289986
Stamm, T., Karner, G., Kutrovatz, J. M., Ritschl, V., Perkhofer, S., Tucek, G., & Weigl, R. (2023). Besonderheiten der Forschung im Gesundheitswesen. In V. Ritschl, R. Weigl, & T. Stamm (Eds.), Wissenschaftliches Arbeiten und Schreiben - Verstehen, Anwenden, Nutzen für die Praxis (2nd ed., pp. 29–53). Springer.
Vulpe-Grigorasi, A. (2023). Cognitive load assessment based on VR eye-tracking and biosensors. Proceedings of the 22nd International Conference on Mobile and Ubiquitous Multimedia, 589–591. https://doi.org/10.1145/3626705.3632618
Vulpe-Grigorasi, A. (2023). Multimodal machine learning for cognitive load based on eye tracking and biosensors. 2023 Symposium on Eye Tracking Research and Applications, 1–3. https://doi.org/10.1145/3588015.3589534
2022
Guggenberger, B., Horsak, B., Habersack, A., Smith, C., Svehlik, M., & Kainz, H. (2022). The influence of different walking strategies on patellofemoral and tibiofemoral contact forces in individuals with patellofemoral instability. Gait & Posture, 97, S68–S69. https://doi.org/10.1016/j.gaitpost.2022.07.052
Horsak, B., Simonlehner, M., Schöffer, L., Dumphart, B., Jalaeefar, A., Husinsky, M., & Siragy, T. (2022). Walking overground in a room-scale Virtual Reality Environment: a motor control perspective. 9th World Congress of Biomechanics, Taipei, Taiwan.
Horsak, B. (2022). Die klinische Ganganalyse: ein „Werkzeugkasten“ zur objektiven Analyse der menschlichen Bewegung (Invited Talk). Jahrestagung der Österreichischen Gesellschaft für Physikalische Medizin und Rehabilitation (ÖGPMR), Krems, Austria.
Horsak, B. (2022). Clinical Gait Analysis: A Toolbox to study Dynamic Joint Loading (Invited Talk). 16th World Conference of the International Cartilage Regeneration & Joint Repair Society, Berlin, Germany.
Horsak, B., Simonlehner, M., Dumphart, B., Kainz, H., Killen, B., & Jonkers, I. (2022). Patella-femoral joint loading during the modified Star Excursion Balance Test: Preliminary results of an extensive simulation study. Gait & Posture, 97, S5–S6. https://doi.org/10.1016/j.gaitpost.2022.07.013
Horsak, B. (2022). From machine learning to virtual reality: application examples of emerging digital trends in (clinical) gait analysis and rehabilitation (Invited Talk). 2022 Motion Capture Days, Dortmund, Germany.
Slijepcevic, D., Horst, F., Simak, M., Lapuschkin, S., Raberger, A. M., Samek, W., Breiteneder, C., Schöllhorn, W. I., Zeppelzauer, M., & Horsak, B. (2022). Explaining machine learning models for age classification in human gait analysis. Gait & Posture, 97, S252–S253. https://doi.org/10.1016/j.gaitpost.2022.07.153