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research-article

Forward Static Optimization in Dynamic Simulation of Human Musculoskeletal Systems: A Proof-of-Concept Study

[+] Author and Article Information
Mohammad S. Shourijeh

PhD Mechanical Engineering University of Ottawa Ottawa, Canada K1N 6N5
msharifs@uottawa.ca

Naser Mehrabi

PhD Systems Design Engineering University of Waterloo Waterloo, Canada N2L 3G1
nmehrabi@uwaterloo.ca

John McPhee

Professor, Fellow of ASME Systems Design Engineering University of Waterloo Waterloo, Canada N2L 3G1
mcphee@uwaterloo.ca

1Corresponding author.

ASME doi:10.1115/1.4036195 History: Received September 01, 2015; Revised February 14, 2017

Abstract

Static optimization has been used extensively to solve the muscle redundancy problem in inverse dynamics. The major advantage of this approach over other techniques is the computational efficiency. This study discusses the possibility of applying static optimization to solve the muscle force distribution in forward dynamics. A simple forearm model with seven muscles is considered as an example, and static optimization is used for both inverse and forward dynamics and the results are compared. The computational costs are also detailed. In terms of simulation time, forward static optimization is found to be a suitable method for solving forward dynamic musculoskeletal simulations.

Copyright (c) 2017 by ASME
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