Optimal design of musculoskeletal models using force field data.
We propose an optimal design framework for a musculoskeletal model. A six degrees of freedom generalized force field at an end effector is measured by activating a specific muscle in-situ. Given that we have a musculoskeletal simulation model with a set of undetermined design parameters, the framework chooses the optimal parameters which minimize the difference between simulated and measured force field data. To ensure generality, the framework is model independent, which means that any type of musculoskeletal model can be applied. As a generalized method, a PID (Proportional-Integral-Derivative) controller and an empirical Jacobian are used to correctly simulate the force field without suffering from numerical issues such as stability and indeterminacy. Case studies of the muscles of the rat hind limb show a satisfactory capability of the framework.
Yeo
Sang Hoon
SH
Department of Computer Science, The University of British Columbia, 201-2366 Main Mall, Vancouver, BC, Canada. shyeo@cs.ubc.ca
Tresch
Matthew C
MC
Pai
Dinesh K
DK
D000465:Algorithms; D000818:Animals; D001696:Biomechanical Phenomena; D003198:Computer Simulation; D003627:Data Interpretation, Statistical; D001330:Electronic Data Processing; D004867:Equipment Design; D005121:Extremities / Q000473:pathology*; D008962:Models, Theoretical; D009132:Muscles / Q000033:anatomy & histology / Q000502:physiology*; D051381:Rats; D012815:Signal Processing, Computer-Assisted; D012984:Software; D013314:Stress, Mechanical