Measuring static and dynamic lower limb alignment in patients with advanced knee osteoarthritis using markerless motion capture
These results show how markerless technology was able to quantify lower limb alignment and demonstrates potential for integration into clinic to assess musculoskeletal diseases.
Authors
- Jereme Outerleys (ORCID: https://orcid.org/0000-0001-9065-8129)
- Steve Mann (ORCID: https://orcid.org/0000-0003-0363-3690)
- Kevin J. Deluzio (ORCID: https://orcid.org/0000-0003-1638-0557)
- Elise Laende (ORCID: https://orcid.org/0000-0001-9889-7570)
- Gavin Wood (ORCID: https://orcid.org/0000-0002-3907-1696)
- Fernando Diaz (ORCID: https://orcid.org/0000-0002-7830-2207)
- Jacob Calderone
Institutions
- Queen's University (CA)
- Kingston Health Sciences Centre (CA)
Publication Details
- Journal
- Gait & Posture
- Published
- 2025-03-07
- DOI
- https://doi.org/10.1016/j.gaitpost.2025.02.022
- Citations
- 1
- Primary Topic
- Total Knee Arthroplasty Outcomes
- Type
- article
- Field-Weighted Citation Impact
- 2.01
Funders
- Natural Sciences and Engineering Research Council of Canada