Bone position estimation from skin marker co-ordinates using global optimisation with joint constraints - PubMed (original) (raw)
Bone position estimation from skin marker co-ordinates using global optimisation with joint constraints
T W Lu et al. J Biomech. 1999 Feb.
Abstract
Widespread use of gait or motion analysis in the diagnosis of patients with locomotor pathology and the subsequent planning and assessment of treatment has been limited because of its reliability, particularly in evaluating frontal and transverse plane components. This is because spatial reconstruction of the musculoskeletal system and calculation of its kinematics and kinetics via a skin marker-based multi-link model are subject to marker skin movement artefacts. Traditional methods treat each body segment separately without imposing joint constraints, resulting in apparent dislocations at joints predominantly because of skin movement artefacts. An optimisation method for the determination of the positions and orientations of multi-link musculoskeletal models from marker co-ordinates is presented. It is based on the minimisation of the weighted sum of squared distances between measured and model-determined marker positions. The model imposes joint constraints. Numerical experiments were performed to show that the new method is capable of eliminating joint dislocations and giving more accurate model position and orientation estimations. It is suggested that, with joint constraints and a global error compensation scheme, the effects of measurement errors on the reconstruction of the musculoskeletal system and subsequent mechanical analyses can be reduced globally. The proposed method minimises errors in axial rotation and ab/adduction at the joints and may extend the applicability of gait analysis to clinical problems.
Similar articles
- Global sensitivity analysis of the joint kinematics during gait to the parameters of a lower limb multi-body model.
El Habachi A, Moissenet F, Duprey S, Cheze L, Dumas R. El Habachi A, et al. Med Biol Eng Comput. 2015 Jul;53(7):655-67. doi: 10.1007/s11517-015-1269-8. Epub 2015 Mar 18. Med Biol Eng Comput. 2015. PMID: 25783762 - Evaluation of the global optimisation method within the upper limb kinematics analysis.
Roux E, Bouilland S, Godillon-Maquinghen AP, Bouttens D. Roux E, et al. J Biomech. 2002 Sep;35(9):1279-83. doi: 10.1016/s0021-9290(02)00088-x. J Biomech. 2002. PMID: 12163317 - Marker-based reconstruction of the kinematics of a chain of segments: a new method that incorporates joint kinematic constraints.
Klous M, Klous S. Klous M, et al. J Biomech Eng. 2010 Jul;132(7):074501. doi: 10.1115/1.4001396. J Biomech Eng. 2010. PMID: 20590294 - Kinematic models of lower limb joints for musculo-skeletal modelling and optimization in gait analysis.
Leardini A, Belvedere C, Nardini F, Sancisi N, Conconi M, Parenti-Castelli V. Leardini A, et al. J Biomech. 2017 Sep 6;62:77-86. doi: 10.1016/j.jbiomech.2017.04.029. Epub 2017 May 22. J Biomech. 2017. PMID: 28601242 Review. - Kinematic models of the upper limb joints for multibody kinematics optimisation: An overview.
Duprey S, Naaim A, Moissenet F, Begon M, Chèze L. Duprey S, et al. J Biomech. 2017 Sep 6;62:87-94. doi: 10.1016/j.jbiomech.2016.12.005. Epub 2016 Dec 9. J Biomech. 2017. PMID: 27986326 Review.
Cited by
- Musculoskeletal Disorder Risk Assessment during the Tennis Serve: Performance and Prevention.
Gorce P, Jacquier-Bret J. Gorce P, et al. Bioengineering (Basel). 2024 Sep 27;11(10):974. doi: 10.3390/bioengineering11100974. Bioengineering (Basel). 2024. PMID: 39451350 Free PMC article. - Are there kinematic and kinetic parameters correlated with racket velocity during the tennis serve? A preliminary comparison between a slow and a fast serve for performance improvement.
Gorce P, Jacquier-Bret J. Gorce P, et al. Front Sports Act Living. 2024 Oct 9;6:1451174. doi: 10.3389/fspor.2024.1451174. eCollection 2024. Front Sports Act Living. 2024. PMID: 39444495 Free PMC article. - A protocol for obtaining upper and lower extremity joints' range of motion in children using three-dimensional motion analysis system.
Afifi M, Abdulazeez MU, Aminian K, Stylianides GA, Abdullah KA. Afifi M, et al. Front Physiol. 2024 Aug 21;15:1416175. doi: 10.3389/fphys.2024.1416175. eCollection 2024. Front Physiol. 2024. PMID: 39234307 Free PMC article. - A leg model based on anatomical landmarks to study 3D joint kinematics of walking in Drosophila melanogaster.
Haustein M, Blanke A, Bockemühl T, Büschges A. Haustein M, et al. Front Bioeng Biotechnol. 2024 Jun 26;12:1357598. doi: 10.3389/fbioe.2024.1357598. eCollection 2024. Front Bioeng Biotechnol. 2024. PMID: 38988867 Free PMC article. - Kinematics of the Tennis Serve Using an Optoelectronic Motion Capture System: Are There Correlations between Joint Angles and Racket Velocity?
Jacquier-Bret J, Gorce P. Jacquier-Bret J, et al. Sensors (Basel). 2024 May 22;24(11):3292. doi: 10.3390/s24113292. Sensors (Basel). 2024. PMID: 38894086 Free PMC article.
MeSH terms
LinkOut - more resources
Full Text Sources
Other Literature Sources
Medical