Predictive models to study neuromuscular control of walking in older people

研究老年人行走的神经肌肉控制的预测模型

• 批准号: DP160104366
• 负责人: Prof Marcus Pandy
• 金额: $ 33.81万
• 依托单位: The University of Melbourne
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2016
• 资助国家: 澳大利亚
• 起止时间: 2016-05-02 至 2019-09-30
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP160104366
• 关键词: Predictive; models; study; neuromuscular; control

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 quality of life for older adults.

该项目旨在解决人体运动模拟中的一个主要挑战：提供运动生物力学的计算效率预测模拟。它计划汇集计算建模，医学成像和非线性最优控制理论的最新发展，以促进目前对健康年轻人和老年人运动过程中个体下肢肌肉如何稳定和控制身体运动的理解。关于肌肉力学特性的年龄相关变化如何影响行走的神经肌肉控制的新知识可能有助于设计更有针对性的运动疗法，旨在维持老年人的独立功能和改善生活质量。