Publications
Kranzl, A., Stief, F., Böhm, H., Alexander, N., Bracht-Schweizer, K., Hartmann, M., Hösl, M., Trinler, U., Widhalm, K., & Horsak, B. (2025). Recommendations of the GAMMA association for the standardization of clinical movement analysis laboratories. Gait & Posture, 117, 7–15. https://doi.org/10.1016/j.gaitpost.2024.11.018
Guggenberger, B., Horsak, B., Habersack, A., Kruse, A., Smith, C. R., Kainz, H., & Svehlik, M. (2024). Patient-specific gait pattern in individuals with patellofemoral instability reduces knee joint loads. Scientific Reports, 14(1), 1–11. https://doi.org/10.1038/s41598-024-79021-x
Siragy, T., Russo, Y., & Horsak, B. (2024). Mediolateral Margin of Stability highlights motor strategies for maintaining dynamic balance in older adults. PLOS ONE, 19(10), e0313034. https://doi.org/10.1371/journal.pone.0313034
Simonlehner, M., Dumphart, B., & Horsak, B. (2024). GaitRec-VR: 3D Gait Analysis for Walking Overground with and without a Head-Mounted-Display in Virtual Reality. Scientific Data, 11(1), 1099. https://doi.org/10.1038/s41597-024-03939-0
Krondorfer, P., Slijepčević, D., Unglaube, F., Kranzl, A., Zeppelzauer, M., Kainz, H., & Horsak, B. (2024). Predicting knee contact forces in walking: A comparative study of machine learning models including a physics-informed approach. Gait & Posture, 113, 125–126. https://doi.org/10.1016/j.gaitpost.2024.07.140
Horsak, B., Puhr, M., Prock, K., Simonlehner, M., & Dumphart, B. (2024). To undress or not: Effects of clothing conditions on smartphone-based 3D markerless motion capture. Gait & Posture, 113, 96–97. https://doi.org/10.1016/j.gaitpost.2024.07.111
Dumphart, B., Djordje, S., Unglaube, F., Kranzl, A., Baca, A., & Horsak, B. (2024). The impact of initial contact events on kinematics in pathological gait - Preliminary results of an ongoing study. Gait & Posture, 113, 54–55. https://doi.org/10.1016/j.gaitpost.2024.07.067
Simonlehner, M., de Jesus Oliveira, V. A., Prock, K., Iber, M., Horsak, B., & Siragy, T. (2024). Sonification can alter Joint Alignment for Personalized Rehabilitation: Evidence from a Controlled Pilot Study. Gait & Posture, 113, 212–213. https://doi.org/10.1016/j.gaitpost.2024.07.229
Slijepcevic, D., Krondorfer, P., Unglaube, F., Kranzl, A., Zeppelzauer, M., & Horsak, B. (2024). Predicting ground reaction forces in overground walking from gait kinematics using machine learning. Gait & Posture, 113, 214–215. https://doi.org/10.1016/j.gaitpost.2024.07.231
Horsak, B., Prock, K., & Dumphart, B. (2024). Inter-session repeatability of a Smartphone-based 3D Markerless system to assess joint Kinematics for walking and a sit-to-stand task. Gait & Posture, 113, 95–96. https://doi.org/10.1016/j.gaitpost.2024.07.110
Horst, F., Slijepcevic, D., Schöllhorn, W. I., Horsak, B., & Zeppelzauer, M. (2024). Explainable artificial intelligence for walking speed classification from vertical ground reaction forces. Gait & Posture, 113, 215–216. https://doi.org/10.1016/j.gaitpost.2024.07.232
Eichwalder, J., Kaufmann, P., Mandl, T., Horsak, B., & Kainz, H. (2024). The effects of virtual reality on muscle synergies during walking and balancing in healthy adults. Gait & Posture, 113, 55–56. https://doi.org/10.1016/j.gaitpost.2024.07.068
Siragy, T., Russo, Y., & Horsak, B. (2024). Mediolateral margin of stability is larger in older than younger adults during the single-support phase. Gait & Posture, 113, 213–214. https://doi.org/10.1016/j.gaitpost.2024.07.230
Janeh, O., Matsumto, K., & Horsak, B. (2024). Editorial: The role of perceptual manipulations of XR in neurological rehabilitation. Frontiers in Virtual Reality, 5. https://doi.org/10.3389/frvir.2024.1472756
Armand, S., Sawacha, Z., Goudriaan, M., Horsak, B., van der Krogt, M., Huenaerts, C., Daly, C., Kranzl, A., Boehm, H., Petrarca, M., Guiotto, A., Merlo, A., Spolaor, F., Campanini, I., Cosma, M., Hallemans, A., Horemans, H., Gasq, D., Moissenet, F., … Sangeux, M. (2024). Current practices in clinical gait analysis in Europe: A comprehensive survey-based study from the European society for movement analysis in adults and children (ESMAC) standard initiative. Gait & Posture, 111, 65–74. https://doi.org/10.1016/j.gaitpost.2024.04.014
Horsak, B., Durstberger, S., Krondorfer, P., Thajer, A., Greber-Platzer, S., & Kranzl, A. (2024). Which method should we use to determine the hip joint center location in individuals with a high amount of soft tissue? Clinical Biomechanics, 0(0). https://doi.org/10.1016/j.clinbiomech.2024.106254
Slijepcevic, D., Horst, F., Simak, M. L., Schöllhorn, W. I., Horsak, B., & Zeppelzauer, M. (2024). Decoding Gait Signatures: Exploring Individual Patterns in Pathological Gait using Explainable AI. IEEE Access, 1–1. https://doi.org/10.1109/ACCESS.2024.3513893
Totorean, A., Lancere, L., Horsak, B., Simonlehner, M., Stoia, D. I., Crisan-Vida, M., Moco, D., Fernandes, R., Gere, A., Sterckx, Y., Zulkarnain, A., Gal-Nadasan, N., & Stoia, A. (2024). Heart Rate and Surface Electromyography Analysis to Assess Physical Activity Using a Virtual-Reality Exergame. In N. Herisanu & V. Marinca (Eds.), Acoustics and Vibration of Mechanical Structures—AVMS-2023 (pp. 139–146). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-48087-4_15
Horsak, B., Kainz, H., & Dumphart, B. (2024). Repeatability and minimal detectable change including clothing effects for smartphone-based 3D markerless motion capture. Journal of Biomechanics, 112281. https://doi.org/10.1016/j.jbiomech.2024.112281
Horsak, B., Prock, K., Krondorfer, P., Siragy, T., Simonlehner, M., & Dumphart, B. (2024). Inter-trial variability is higher in 3D markerless compared to marker-based motion capture: Implications for data post-processing and analysis. Journal of Biomechanics, 112049. https://doi.org/10.1016/j.jbiomech.2024.112049
Teufl, G., Simonlehner, M., Prock, K., & Horsak, B. (2024). Comparing Jump Height Estimated From A Virtual Reality Head-Mounted-Display and Force plate. ISBS Proceedings Archive, 42, 922. https://commons.nmu.edu/isbs/vol42/iss1/213/
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
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
Dumphart, B., Slijepcevic, D., Kranz, A., Zeppelzauer, M., & Horsak, B. (2023). Is it time to re-think the appropriateness of autocorrelation for gait event detection? Preliminary results of an ongoing study. Gait & Posture, 106, S50–S51. https://doi.org/10.1016/j.gaitpost.2023.07.064
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
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
Guggenberger, B., Horsak, B., Habersack, A., Smith, C., Svehlik, M., & Kainz, H. (2023). Internal lower limb rotation increases patella cartilage pressure in individuals with patellofemoral instability. Gait & Posture, 106, S71–S72. https://doi.org/10.1016/j.gaitpost.2023.07.088
Dumphart, B., Slijepcevic, D., Zeppelzauer, M., Kranzl, A., Unglaube, F., Baca, A., & Horsak, B. (2023). Robust deep learning-based gait event detection across various pathologies. PLOS ONE, 18(8), e0288555. https://doi.org/10.1371/journal.pone.0288555
de Jesus Oliveira, V. A., Slijepčević, D., Dumphart, B., Ferstl, S., Reis, J., Raberger, A.-M., Heller, M., Horsak, B., & Iber, M. (2023). Auditory feedback in tele-rehabilitation based on automated gait classification. Personal and Ubiquitous Computing. https://doi.org/10.1007/s00779-023-01723-2
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
Durstberger, S., Kranzl, A., & Horsak, B. (2023). Effects of three different regression-based hip joint center localization methods in adolescents with obesity on kinematics and kinetics - preliminary results of the HIPstar study. Gait & Posture, 100, 42–43. https://doi.org/10.1016/j.gaitpost.2022.11.056
Guggenberger, B., Horsak, B., Habersack, A., Smith, C. R., Kainz, H., & Svehlik, M. (2023). Different walking strategies impact patella cartilage pressure in individuals with patellofemoral instability. Gait & Posture, 100, 9–10. https://doi.org/10.1016/j.gaitpost.2022.11.025
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., 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
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
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
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
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
Rind, A., Slijepcevic, D., Zeppelzauer, M., Unglaube, F., Kranzl, A., & Horsak, B. (2022). Trustworthy Visual Analytics in Clinical Gait Analysis: A Case Study for Patients with Cerebral Palsy. Proc. 2022 IEEE Workshop on TRust and EXpertise in Visual Analytics (TREX), 7–15. https://doi.org/10.1109/TREX57753.2022.00006
Slijepcevic, D., Horst, F., Lapuschkin, S., Horsak, B., Raberger, A.-M., Kranzl, A., Samek, W., Breitender, C., Schöllhorn, W., & Zeppelzauer, M. (2022). Explaining Machine Learning Models for Clinical Gait Analysis. ACM Transactions on Computing for Healthcare, 3(2), 14:1-14:27. https://doi.org/10.1145/3474121
Zulkarnain, A. H. B., Totorean, A., Gere, A., Cruz, E., Horsak, B., Lancere, L., Schöffer, L., Simonlehner, M., Crișan-Vida, M., Fernandes, R., & Sterckx, Y. (2022). Development of a social inclusive immersive virtual reality exergame to promote physical activity. Book of Proceedings FOODCONF. Fourth International Conference on Food Science and Technology, Budapest, Hungary. http://www.foodconf.hu/poster/P4000/68.pdf
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. (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.
Horsak, B., Simonlehner, M., Schöffer, L., Dumphart, B., Jalaeefar, A., & Husinsky, M. (2021). Overground walking in a fully immersive Virtual Reality: Preliminary results of a comprehensive study on the effects on walking biomechanics. Gait & Posture, 90, 100–101. https://doi.org/https://doi.org/10.3389/fbioe.2021.780314
Dumphart, B., Slijepčević, D., Unglaube, F., Kranzl, A., Baca, A., Zeppelzauer, M., & Horsak, B. (2021). An automated deep learning-based gait event detection algorithm for various pathologies. Gait & Posture, 90, 50–51. https://doi.org/https://doi.org/10.1016/j.gaitpost.2021.09.026
Krondorfer, P., Slijepčević, D., Unglaube, F., Kranzl, A., Breiteneder, C., Zeppelzauer, M., & Horsak, B. (2021). Deep learning-based similarity retrieval in clinical 3D gait analysis. Gait & Posture, 90, 127–128. https://doi.org/https://doi.org/10.1016/j.gaitpost.2021.09.066
Schwab, C., Durstberger, S., Kainz, H., Baca, A., Thajer, A., Greber-Platzer, S., Ilse, J., Horsak, B., & Kranzl, A. (2021). Accuracy of 3-dimensional freehand ultrasound to estimate anatomical landmarks in children and adolescents with obesity. Gait & Posture, 90, 232–233. https://doi.org/https://doi.org/10.1016/j.gaitpost.2021.09.120
Dumphart, B., Schimanko, M., Nöstlinger, S., Iber, M., Horsak, B., & Heller, M. (2021). Validity and reliability of a mobile insole to measure vertical ground reaction force during walking. 823. http://media.isb2021.com/2021/12/ISB2021_ProgrammeAbstracts.pdf
Horsak, B., Simonlehner, M., Schöffer, L., Dumphart, B., Jalaeefar, A., & Husinsky, M. (2021). Overground Walking in a Fully Immersive Virtual Reality: A Comprehensive Study on the Effects on Full-Body Walking Biomechanics. Frontiers in Bioengineering and Biotechnology, 9, 1236. https://doi.org/https://doi.org/10.3389/fbioe.2021.780314
Horsak, B., Schwab, C., Durstberger, S., Thajer, A., Greber-Platzer, S., Kainz, H., Jonkers, I., & Kranzl, A. (2021). 3D free-hand ultrasound to register anatomical landmarks at the pelvis and localize the hip joint center in lean and obese individuals. Scientific Reports, 11(1), 10650. https://doi.org/https://doi.org/10.1038/s41598-021-89763-7
Thajer, A., Skacel, G., Truschner, K., Jorda, A., Vasek, M., Horsak, B., Strempfl, J., Kautzky-Willer, A., Kainberger, F., & Greber-Platzer, S. (2021). Comparison of Bioelectrical Impedance-Based Methods on Body Composition in Young Patients with Obesity. Children, 8(4), 295. https://doi.org/https://doi.org/10.3390/children8040295
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/gh379v
Horsak, B., Schwab, C., Leboeuf, F., & Kranzl, A. (2020). Reliability of walking and stair climbing kinematics in a young obese population using a standard kinematic and the CGM2 model. Gait & Posture, 83(96–99). https://doi.org/10/gnt2tj
Horsak, B., Slijepcevic, D., Raberger, A.-M., Schwab, C., Worisch, M., & Zeppelzauer, M. (2020). GaitRec, a large-scale ground reaction force dataset of healthy and impaired gait. Scientific Data, 7:143(1), 1–8. https://doi.org/10/gh372d
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.
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/10/ghz24x
Horst, F., Slijepcevic, D., Zeppelzauer, M., Raberger, A. M., Lapuschkin, S., Samek, W., Schöllhorn, W. I., Breiteneder, C., & Horsak, B. (2020). Explaining automated gender classification of human gait. Gait & Posture, 81, supplement 1, 159–160. https://doi.org/10/ghr9k6
Horsak, B., Simonlehner, M., Schöffer, L., Maureder, J., Schwab, C., Raberger, A. M., Zeller, M., & Husinsky, M. (2020). Applicability and usability of an immersive virtual reality-based balance control exergame for prosthetic users: A pilot study with healthy individuals. Gait & Posture. ESMAC 29th Annual Meeting, Virtual Meeting. https://doi.org/10/gnkdht
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.
Durstberger, S., Schwab, C., Simonlehner, M., Kainz, H., Kranzl, A., & Horsak, B. (2020). Evaluating 3D free-hand ultrasound as an alternative approach to register anatomical landmarks: A test-retest study in lean and overweight participants. Gait & Posture. ESMAC 29th Annual Meeting, Virtual Meeting. https://doi.org/10/gnt2tf
Schwab, C., Durstberger, S., Kranzl, A., Simonlehner, M., Kainz, H., & Horsak, B. (2020). Evaluating the accuracy of a 3D free-hand ultrasound technique for bone segmentation in clinical gait analysis. Gait & Posture. ESMAC 29th Annual Meeting, Virtual Meeting. https://doi.org/10.1016/j.gaitpost.2020.08.064
Horsak, B. (2019). Advancements in biomechanical research in gait analysis and motor rehabilitation (Habilitation). University of Vienna.
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. Book of Abstracts of the 25th Conference of the European Society of Biomechanics (ESB), 1.
Horsak, B. (2019). Reliabilität von Messergebnissen in der Gang- und Bewegungsanalyse – Erfahrungsbericht zu gängigen Maßzahlen [Invited talk]. GAMMA Workshop im Rahmen des 11. Kongress der Deutschen Gesellschaft für Biomechanik, Berlin.
Horsak, B., Schwab, C., & Kranzl, A. (2019). Reliability of stair walking kinematics in young overweight and obese individuals [Poster]. 28th Annual Meeting of the European Society for Movement Analysis in Adults and Children (ESMAC), Amsterdam, Netherlands.
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, 70(122–129). https://doi.org/10/gh38bj
Horsak, B., Matousek, E., Schwärzler, E., & Schwab, C. (2019). Reliability of a mobile device to track the sagittal lumbar spine posture during activities of daily living. 11. Kongress der Deutschen Gesellschaft für Biomechanik, Berlin.
Slijepcevic, D., Zeppelzauer, M., Schwab, C., Raberger, A.-M., Dumphart, B., Baca, A., Breiteneder, C., & Horsak, B. (2018). Towards an optimal combination of input signals and derived representations for gait classification based on ground reaction force measurements. Gait & Posture Supplement, 65. https://doi.org/10/gh38wn
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, 66(201–207). https://doi.org/10/gf4v7g
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/ghppzn
Schwab, C., Slijepcevic, D., Zeppelzauer, M., Raberger, A.-M., Dumphart, B., Baca, A., Breitender, C., & Horsak, B. (2018). IntelliGait: Automatische Gangmusteranalyse für die robuste Erkennung von Gangstörungen. Tagungsband Des 2ten GAMMA Kongress (Gesellschaft Für Die Analyse Menschlicher Motorik in Ihrer Klinischen Anwendung). 2ter GAMMA Kongress (Gesellschaft für die Analyse Menschlicher Motorik in ihrer klinischen Anwendung), Hamburg, Deutschland.
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/ghz24w
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/gh38bh
Clemens, C., Schwab, C., Kranzl, A., Wondrasch, B., Baca, A., Greber-Platzer, S., Crevenna, R., Kreissl, A., Keilani, M., & Horsak, B. (2017). Hip joint center estimation methods do not affect test-retest reliability of kinematic measurements in young obese participants [Poster]. 10th Annual Meeting of the German Society for Biomechanics (DGfB), Hannover, Germany.
Slijepcevic, D., Horsak, B., Schwab, C., Raberger, A.-M., Schüller, M., Baca, A., Breitender, C., & Zeppelzauer, M. (2017). Ground reaction force measurements for gait classification tasks: Effects of different PCA-based representations. Gait & Posture Supplement, 57, 4–5. https://doi.org/10.1016/j.gaitpost.2017
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/gh38bd
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/gh38bf
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/gh38bc
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