Tedesco, S, Crowe, C, Ryan, A, Sica, M, Scheurer, S, Clifford, A. M., Brown, K. N. & O`Flynn, B. (2020). Motion sensors-based machine learning approach for the identification of anterior cruciate ligament gait patterns in on-the-field activities in rugby players. Sensors, 20 (11), 3029. Zugriff am 22.01.2021 unter https://doi.org/10.3390/s20113029
APA-Zitierstil (7. Ausg.)Tedesco, S., Crowe, C., Ryan, A., Sica, M., Scheurer, S., Clifford, A. M., . . . O`Flynn, B. (2020). Motion sensors-based machine learning approach for the identification of anterior cruciate ligament gait patterns in on-the-field activities in rugby players. Sensors, 20(11), 3029.
Chicago-Zitierstil (17. Ausg.)Tedesco, S., C. Crowe, A. Ryan, M. Sica, S. Scheurer, A. M. Clifford, K. N. Brown, und B. O`Flynn. "Motion Sensors-based Machine Learning Approach for the Identification of Anterior Cruciate Ligament Gait Patterns in On-the-field Activities in Rugby Players." Sensors 20, no. 11 (2020): 3029.
MLA-Zitierstil (9. Ausg.)Tedesco, S., et al. "Motion Sensors-based Machine Learning Approach for the Identification of Anterior Cruciate Ligament Gait Patterns in On-the-field Activities in Rugby Players." Sensors, vol. 20, no. 11, 2020, p. 3029.