An alternative for human gait modelling using the Bond Graph Technique

Abstract

The systematic analysis of the human gait with a skeletal or neuromuscular disorder is a valuable clinical instrument to determine the nature and severity of the disease.
At present, there are many institutions that have developed a series of numerical models that simulate and analyze biomechanics systems such as the human gait.
Many of these models require diverse and segmented programming to incorporate various effects of the dynamics of the body such as the performance of the muscles and tendons, the passive and active resistance to movement, and other physiological effects. One of the alternatives to simulate biomechanical systems is the use of the Bond Graph modeling technique. The modular modeling with multi-domains, a feature of the Bond Graph technique,
is one of its potential advantages compare to other methods. The equations generated with the use of this technique are equivalent to those techniques developed with more traditional methods, but the modules can be easier and more comfortable to use in conjunction with models of neuromuscular control functions, models that incorporate the elasticity properties in the bones and tendons, etc. The proposed model, comprised of seven segments, is developed to estimate the torque and the power in the joints. This model is simulated and validated using the processed experimental data of a normal gait in GCD (Gait Cycle Data) format file.