On the potential of lower limb muscles to accelerate the body's centre of mass during walking

Abstract

Quantification of lower limb muscle function during gait or other common activities may be achieved using an induced acceleration analysis, which determines the contributions of individual muscles to the accelerations of the body's centre of mass. However, this analysis is reliant on a mathematical optimisation for the distribution of net joint moments among muscles. One approach that overcomes this limitation is the calculation of a muscle's potential to accelerate the centre of mass based on either a unit-force or maximum-activation assumption. Unit-force muscle potential accelerations are determined by calculating the accelerations induced by a 1 N muscle force, whereas maximum-activation muscle potential accelerations are determined by calculating the accelerations induced by a maximally activated muscle. The aim of this study was to describe the acceleration potentials of major lower limb muscles during normal walking obtained from these two techniques, and to evaluate the results relative to absolute (optimisation-based) muscle-induced accelerations. Dynamic simulations of walking were generated for 10 able-bodied children using musculoskeletal models, and potential- and absolute induced accelerations were calculated using a perturbation method. While the potential accelerations often correctly identified the major contributors to centre-of-mass acceleration, they were noticeably different in magnitude and timing from the absolute induced accelerations. Potential induced accelerations predicted by the maximum-activation technique, which accounts for the force-generating properties of muscle, were no more consistent with absolute induced accelerations than unit-force potential accelerations. The techniques described may assist treatment decisions through quantitative analyses of common gait abnormalities and/or clinical interventions.

Keywords::

• gait
• musculoskeletal model
• induced accelerations
• muscle function

Acknowledgements

The authors would like to thank Jana Bechmann and Mareike Sommer for assisting with segmentation of MR images, and Simon Harrison and Tim Dorn for their constructive comments on earlier drafts of this manuscript. Financial support was provided by the Australian Research Council under Discovery Project Grant DP0878705, the National Health and Medical Research Council through the Centre for Clinical Research Excellence in Gait Analysis and Gait Rehabilitation (Gait CCRE), and a VESKI Innovation Fellowship awarded to M.G.P.

Notes

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