T. Nadler, S. Wolfen, D. Häufle, and S. Schmitt. Dataset, (2024)Related to: Driess, D., Zimmermann, H., Wolfen, S., Suissa, D., Haeufle, D., Hennes, D., Toussaint, M. & Schmitt, S. (2018, May). Learning to control redundant musculoskeletal systems with neural networks and SQP: exploiting muscle properties. In 2018 IEEE International Conference on robotics and automation (ICRA) (pp. 6461-6468). IEEE. doi: 10.1109/ICRA.2018.8463160.
J. Völter, T. Ricken, and O. Röhrle. 92nd Annual Meeting of the International Association of Applied Mathematics and Mechanics (GAMM), 23, 1, page e202200070. Wiley-VCH, (2023)
P. Lerge, L. Nölle, and S. Schmitt. Dataset, (2023)Related to: Lerge P., Nölle L.V., Schmitt S., Deep learning-based estimation of the neutral body posture considering three-dimensional local joint angles, Human Factors 2023.
J. Kneifl, D. Rosin, O. Avci, O. Röhrle, and J. Fehr. Software, (2023)Related to: Kneifl, J, Rosin, D., Röhrle, O., Fehr, J.: Low-dimensional Data-based Surrogate Model of a Continuum-mechanical Musculoskeletal System Based on Non-intrusive Model Order Reduction, 2022. tbd.
P. Santana Chacon, M. Hammer, I. Wochner, J. Walter, and S. Schmitt. Software, (2023)Related to: P. F. S. Chacon, M. Hammer, I. Wochner, J. R. Walter and S. Schmitt. A physiologically enhanced muscle spindle model: using a Hill-type model for extrafusal fibers as template for intrafusal fibers. doi: 10.1080/10255842.2023.2293652.
E. Bunz, D. Häufle, C. Remy, and S. Schmitt. Software, (2023)Related to: Bunz E.K., Haeufle D.F.B., Remy C.D., Schmitt S. Bioinspired Preactivation ReflexIncreases Robustness of Walking on Rough Terrain. Scientific Reports 2023. doi: 10.1038/s41598-023-39364-3.
L. Schmid, T. Klotz, O. Röhrle, R. Powers, F. Negro, and U. Yavuz. Software, (2023)Related to: Schmid L, Klotz T, Röhrle O, Powers RK, Negro F, et al. (2024) Postinhibitory excitation in motoneurons can be facilitated by hyperpolarization-activated inward currents: A simulation study. PLOS Computational Biology 20(1): e1011487. doi: 10.1371/journal.pcbi.1011487.
T. Klotz, L. Lehmann, F. Negro, and O. Röhrle. Dataset, (2023)Related to: Klotz, T., Lehmann, L., Negro, F., & Röhrle, O. (2023). High-density magnetomyography is superior to high-density surface electromyography for motor unit decomposition: a simulation study. Journal of Neural Engineering 20 (2023) 046022. doi: 10.1088/1741-2552/ace7f7.
I. Wochner. Dataset, (2022)Related to: Wochner, I., Nölle, L. V., Martynenko, O. V., & Schmitt, S. (2022). ‘Falling heads’: investigating reflexive responses to head-neck perturbations. Biomedical engineering online, 21(1), article no. 25. doi: 10.1186/s12938-022-00994-9.
Z. Trivedi, D. Gehweiler, J. Wychowaniec, T. Ricken, B. Gueorguiev-Rüegg, A. Wagner, and O. Röhrle. Dataset, (2022)Related to: Trivedi, Z., Gehweiler, D., Wychowaniec, J.K., Ricken, T., Gueorguiev, B., Wagner, A., Röhrle, O., 2023. A continuum mechanical porous media model for vertebroplasty: Numerical simulations and experimental validation. Biomech Model Mechanobiol. doi: 10.1007/s10237-023-01715-4.
H. Saini. Dataset, (2022)Related to: Saini, H., & Röhrle, O. (2022). A Biophysically Guided Constitutive Law of the Musculotendon-Complex: Modelling and Numerical Implementation in Abaqus. Computer Methods and Programs in Biomedicine. doi: 10.1016/j.cmpb.2022.107152.