Predictive Models To Study Neuromuscular Control Of Walking In Older People

Grant number: DP160104366 | Funding period: 2016 - 2019

Completed

Abstract

This project aims to address a major challenge in human motion simulation: to deliver computationally-efficient predictive simulations of movement biomechanics. It plans to bring together the latest developments in computational modelling, medical imaging and nonlinear optimal control theory to advance current understanding of how individual lower-limb muscles stabilise and control body movement during locomotion in healthy young and older adults. New knowledge of how age-related changes in muscle mechanical properties affect the neuromuscular control of walking may assist in the design of more targeted exercise-based therapies aimed at maintaining independent function and improving the qual..

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