Maier, J. N., Bianco, N. A., Ong, C. F., Muccini, J, Kuhl, E & Delp, S. L. (2024). Personalizing the shoulder rhythm in a computational upper body model improves kinematic tracking in high range-of-motion arm movements. Journal of Biomechanics, 176 , 112365. Zugriff am 15.12.2024 unter https://doi.org/10.1016/j.jbiomech.2024.112365
APA-Zitierstil (7. Ausg.)Maier, J. N., Bianco, N. A., Ong, C. F., Muccini, J., Kuhl, E., & Delp, S. L. (2024). Personalizing the shoulder rhythm in a computational upper body model improves kinematic tracking in high range-of-motion arm movements. Journal of Biomechanics, 176, 112365.
Chicago-Zitierstil (17. Ausg.)Maier, J. N., N. A. Bianco, C. F. Ong, J. Muccini, E. Kuhl, und S. L. Delp. "Personalizing the Shoulder Rhythm in a Computational Upper Body Model Improves Kinematic Tracking in High Range-of-motion Arm Movements." Journal of Biomechanics 176 (2024): 112365.
MLA-Zitierstil (9. Ausg.)Maier, J. N., et al. "Personalizing the Shoulder Rhythm in a Computational Upper Body Model Improves Kinematic Tracking in High Range-of-motion Arm Movements." Journal of Biomechanics, vol. 176, 2024, p. 112365.