Final frontier in computational modelling of movement

运动计算建模的最终前沿

• 批准号: DP190102365
• 负责人: Prof Marcus Pandy
• 金额: $ 29.57万
• 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: 2019
• 资助国家: 澳大利亚
• 起止时间: 2019-06-18 至 2022-06-17
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP190102365
• 关键词: Final; frontier; computational; modelling; movement

This project aims to create the computational models and methods needed to advance current understanding of musculoskeletal function during movement. Humans must maintain their capacity to move in order to maintain quality-of-life. Predictive modelling is potentially the most powerful approach for understanding musculoskeletal function during movement. Current computational methods are too slow and unreliable to deliver predictive simulations of movement using realistic models of muscle and joint anatomy. This project expects to create the next generation of methods and algorithms needed to enable predictive modelling of movement. Predictive simulations will provide new insights into how muscles stabilise and control movements of the spine, pelvis and lower limbs during daily activities such as walking.

该项目旨在创建所需的计算模型和方法，以促进当前对运动过程中肌肉骨骼功能的理解。人类必须保持移动能力才能维持生活质量。预测建模可能是了解运动过程中肌肉骨骼功能的最强大方法。当前的计算方法太慢且不可靠，无法使用肌肉和关节解剖学的真实模型来提供运动的预测模拟。该项目期望创建实现运动预测建模所需的下一代方法和算法。预测模拟将为了解肌肉在步行等日常活动中如何稳定和控制脊柱、骨盆和下肢的运动提供新的见解。