Predictive Models To Study Neuromuscular Control Of Walking In Older People
Grant number: DP160104366 | Funding period: 2016 - 2019
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..View full description
Related publications (5)
Direct Validation of Model-predicted Muscle Forces in the Cat Hindlimb During Walking.
Derya Karabulut, Suzan Cansel Dogru, Yi-Chung Lin, Marcus Pandy, Walter Herzog, Yunus Ziya Arslan
Various methods are available for simulating the movement patterns of musculoskeletal systems and determining individual muscle fo..