Articular surface approximation in equivalent spatial parallel mechanism models of the human knee joint: an experiment-based assessment

Proc Inst Mech Eng H. 2010;224(9):1121-32. doi: 10.1243/09544119JEIM684.

Abstract

In-depth comprehension of human joint function requires complex mathematical models, which are particularly necessary in applications of prosthesis design and surgical planning. Kinematic models of the knee joint, based on one-degree-of-freedom equivalent mechanisms, have been proposed to replicate the passive relative motion between the femur and tibia, i.e., the joint motion in virtually unloaded conditions. In the mechanisms analysed in the present work, some fibres within the anterior and posterior cruciate and medial collateral ligaments were taken as isometric during passive motion, and articulating surfaces as rigid. The shapes of these surfaces were described with increasing anatomical accuracy, i.e. from planar to spherical and general geometry, which consequently led to models with increasing complexity. Quantitative comparison of the results obtained from three models, featuring an increasingly accurate approximation of the articulating surfaces, was performed by using experimental measurements of joint motion and anatomical structure geometries of four lower-limb specimens. Corresponding computer simulations of joint motion were obtained from the different models. The results revealed a good replication of the original experimental motion by all models, although the simulations also showed that a limit exists beyond which description of the knee passive motion does not benefit considerably from further approximation of the articular surfaces.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Aged
  • Aged, 80 and over
  • Biomechanical Phenomena
  • Biomedical Engineering
  • Cadaver
  • Computer Simulation
  • Female
  • Humans
  • In Vitro Techniques
  • Knee Joint / anatomy & histology*
  • Knee Joint / physiology*
  • Male
  • Models, Anatomic
  • Models, Biological