DVS Edition Citation

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 (7th ed.) Citation

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 Style (17th ed.) Citation

Maier, J. N., N. A. Bianco, C. F. Ong, J. Muccini, E. Kuhl, and 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 (9th ed.) Citation

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.