A Two-Degree-of-Freedom Knee Model Predicts Full Three-Dimensional Tibiofemoral and Patellofemoral Joint Motion During Functional Activity.
Hinge joint
Kinematic coupling
Knee-joint complex
Secondary motions
Journal
Annals of biomedical engineering
ISSN: 1573-9686
Titre abrégé: Ann Biomed Eng
Pays: United States
ID NLM: 0361512
Informations de publication
Date de publication:
Mar 2023
Mar 2023
Historique:
received:
08
02
2022
accepted:
09
08
2022
pubmed:
10
9
2022
medline:
17
2
2023
entrez:
9
9
2022
Statut:
ppublish
Résumé
Six kinematic parameters are needed to fully describe three-dimensional (3D) bone motion at a joint. At the knee, the relative movements of the femur and tibia are often represented by a 1-degree-of-freedom (1-DOF) model with a single flexion-extension axis or a 2-DOF model comprising a flexion-extension axis and an internal-external rotation axis. The primary aim of this study was to determine the accuracy with which 1-DOF and 2-DOF models predict the 3D movements of the femur, tibia and patella during daily activities. Each model was created by fitting polynomial functions to 3D tibiofemoral (TF) and patellofemoral (PF) kinematic data recorded from 10 healthy individuals performing 6 functional activities. Model cross-validation analyses showed that the 2-DOF model predicted 3D knee kinematics more accurately than the 1-DOF model. At the TF joint, mean root-mean-square (RMS) errors across all activities and all participants were 3.4°|mm (deg or mm) for the 1-DOF model and 2.4°|mm for the 2-DOF model. At the PF joint, mean RMS errors were 4.0°|mm and 3.9°|mm for the 1-DOF and 2-DOF models, respectively. These results indicate that a 2-DOF model with two rotations as inputs may be used with confidence to predict the full 3D motion of the knee-joint complex.
Identifiants
pubmed: 36085332
doi: 10.1007/s10439-022-03048-2
pii: 10.1007/s10439-022-03048-2
pmc: PMC9928808
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
493-505Subventions
Organisme : Australian Research Council
ID : DP190102365
Informations de copyright
© 2022. The Author(s).
Références
IEEE Trans Biomed Eng. 2007 Nov;54(11):1940-50
pubmed: 18018689
J Biomech. 2000 Apr;33(4):465-73
pubmed: 10768395
J Biomech. 2017 Sep 6;62:95-101
pubmed: 28237187
J Biomech. 2003 Jan;36(1):125-9
pubmed: 12485647
J Biomech Eng. 2015 Feb 1;137(2):020904
pubmed: 25429519
Clin Orthop Relat Res. 1998 Nov;(356):111-8
pubmed: 9917674
J Biomech Eng. 2019 Aug 1;141(8):
pubmed: 31017635
J Biomech. 2017 Jul 5;59:1-8
pubmed: 28583674
Ann Biomed Eng. 2021 Apr;49(4):1183-1198
pubmed: 33094419
J Biomech. 1998 Dec;31(12):1127-36
pubmed: 9882045
J Biomech. 1988;21(9):705-20
pubmed: 3182875
J Orthop Res. 2012 Oct;30(10):1586-95
pubmed: 22467469
Ann Biomed Eng. 2018 Nov;46(11):1806-1815
pubmed: 29948373
J Orthop Res. 2019 Mar;37(3):609-614
pubmed: 30644134
J Biomech. 2017 May 24;57:152-156
pubmed: 28454908
J Orthop Res. 2019 Jul;37(7):1537-1545
pubmed: 30908694
J Orthop Res. 2004 Jul;22(4):794-800
pubmed: 15183436
J Biomech. 2014 Jan 3;47(1):50-8
pubmed: 24210475
Proc Inst Mech Eng H. 1989;203(4):223-33
pubmed: 2701960
J Orthop Res. 2019 Mar;37(3):615-630
pubmed: 30680795
Int J Sports Phys Ther. 2016 Dec;11(6):820-830
pubmed: 27904787
Clin Orthop Relat Res. 1993 May;(290):259-68
pubmed: 8472457
IEEE Trans Med Imaging. 2016 Jan;35(1):326-36
pubmed: 26316030