Knee Kinematics Estimation Using Multi-Body Optimisation Embedding a Knee Joint Stiffness Matrix: A Feasibility Study.
The use of multi-body optimisation (MBO) to estimate joint kinematics from stereophotogrammetric data while compensating for soft tissue artefact is still open to debate. Presently used joint models embedded in MBO, such as mechanical linkages, constitute a considerable simplification of joint function, preventing a detailed understanding of it. The present study proposes a knee joint model where femur and tibia are represented as rigid bodies connected through an elastic element the behaviour of which is described by a single stiffness matrix. The deformation energy, computed from the stiffness matrix and joint angles and displacements, is minimised within the MBO. Implemented as a "soft" constraint using a penalty-based method, this elastic joint description challenges the strictness of "hard" constraints. In this study, estimates of knee kinematics obtained using MBO embedding four different knee joint models (i.e., no constraints, spherical joint, parallel mechanism, and elastic joint) were compared against reference kinematics measured using bi-planar fluoroscopy on two healthy subjects ascending stairs. Bland-Altman analysis and sensitivity analysis investigating the influence of variations in the stiffness matrix terms on the estimated kinematics substantiate the conclusions. The difference between the reference knee joint angles and displacements and the corresponding estimates obtained using MBO embedding the stiffness matrix showed an average bias and standard deviation for kinematics of 0.9±3.2° and 1.6±2.3 mm. These values were lower than when no joint constraints (1.1±3.8°, 2.4±4.1 mm) or a parallel mechanism (7.7±3.6°, 1.6±1.7 mm) were used and were comparable to the values obtained with a spherical joint (1.0±3.2°, 1.3±1.9 mm). The study demonstrated the feasibility of substituting an elastic joint for more classic joint constraints in MBO.
Univ Lyon, Université Claude Bernard Lyon 1, IFSTTAR, UMR_T9406, LBMC, F69622, Lyon, France.|Università degli Studi di Roma - Foro Italico, Department of Movement, Human, and Health Sciences, Rome, Italy.
Vincent
V
Richard
University of Sheffield, Department of Mechanical Engineering and INSIGNEO Institute for in Silico Medicine, Sheffield, United Kingdom.
Giuliano
G
Lamberto
National Taiwan University, Institute of Biomedical Engineering, Taipei, Taiwan.|National Taiwan University, Department of Orthopaedic Surgery, Taipei, Taiwan.
Tung-Wu
TW
Lu
Università degli Studi di Roma - Foro Italico, Department of Movement, Human, and Health Sciences, Rome, Italy.
Aurelio
A
Cappozzo
Univ Lyon, Université Claude Bernard Lyon 1, IFSTTAR, UMR_T9406, LBMC, F69622, Lyon, France.
Raphaël
R
Dumas
D000328:Adult; D001696:Biomechanical Phenomena; D005260:Female; D005269:Femur / Q000473:pathology / Q000502:physiology; D006801:Humans; D007592:Joint Diseases / Q000503:physiopathology*; D007717:Knee / Q000033:anatomy & histology / Q000502:physiology*; D007719:Knee Joint / Q000033:anatomy & histology / Q000502:physiology*; D008297:Male; D008962:Models, Theoretical; D009068:Movement / Q000502:physiology; D016059:Range of Motion, Articular / Q000502:physiology*; D013977:Tibia / Q000473:pathology / Q000502:physiology