Is Markerless Motion capture accurate enough to identify kinematic risk factors associated with the ACL rupture during high-velocity change of direction? A pilot study on rugby players.
ReferencedatacollectionwasperformedusingaMaB Vicon Nexus 2.14 system (15 infrared cameras, 120 Hz, 43 markers).Joint kinematics were computed by usingafull-bodymodelthroughOpenSim4.3software.Ground reaction forces (AMTI, 960Hz) were used to identify cycle instants.
Authors
- Aude Louessard (ORCID: https://orcid.org/0000-0001-8371-0937)
- Philippe Rouch (ORCID: https://orcid.org/0000-0001-8827-0547)
- Maxime Bourgain (ORCID: https://orcid.org/0000-0003-0178-4858)
- Laura Valdes-Tamayo (ORCID: https://orcid.org/0009-0004-2658-4072)
- Marie Le Moing (ORCID: https://orcid.org/0009-0002-0832-5902)
- Sébastien Davidovici (ORCID: https://orcid.org/0009-0003-9874-5261)
- Adryan Bakhouche
Institutions
- Sorbonne Université (FR)
- Université Sorbonne Paris Nord (FR)
- Institut de Biomécanique Humaine Georges Charpak (FR)
Publication Details
- Journal
- Multidisciplinary Biomechanics Journal
- Published
- 2026-10-26
- DOI
- https://doi.org/10.46298/mbj.19198
- Primary Topic
- Knee injuries and reconstruction techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00