Authors: Ayman H. Kassem, Ahmed Sameh
Addresses: Aerospace Engineering Department, King Fahd University of Petroleum and Minerals, Dhahran, 31261, P.O. Box 873, Saudi Arabia. ' Department of Computer Science and Engineering, The American University in Cairo, P.O. Box 2511, Cairo, Egypt
Abstract: A general framework for modelling and simulation of the dynamic, three-dimensional motion response of the human lumbar-spine is presented in this paper. Lumbar vertebrae are modelled as rigid bodies and all other Flexible Joint Structures (FJS) (i.e., ligaments, cartilage, muscles, and tendons) are modelled collectively as massless springs and dampers. Coupling coefficients, providing additional constraints, are incorporated into the model. Unknown model coefficients (nominally spring, damping and coupling coefficients) are automatically determined by systematically matching the model predictions to spine forced displacement-time data. A robust parameter optimisation module (Monte Carlo routine and Genetic Algorithm (GA)) was developed for this purpose. Two test cases were included for parameters estimation and model verification.
Keywords: lumbar spine; optimisation; GAs; genetic algorithms; spinal modelling; parameter estimation; human spine; dynamic motion response; lumbar vertebrae; Monte Carlo simulation; human factors.
International Journal of Human Factors Modelling and Simulation, 2008 Vol.1 No.2, pp.211 - 224
Available online: 08 Jan 2009 *Full-text access for editors Access for subscribers Purchase this article Comment on this article