Development and validation of a musculoskeletal model of the pelvis in response to lateral impacts

响应横向冲击的骨盆肌肉骨骼模型的开发和验证

• 批准号: RGPIN-2015-03636
• 负责人: Laing, Andrew
• 金额: $ 1.75万
• 依托单位: University of Waterloo
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2019
• 资助国家: 加拿大
• 起止时间: 2019-01-01 至 2020-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=679638
• 关键词: Development; validation; musculoskeletal; model; pelvis

My general field of interest is musculoskeletal biomechanics related to tissue loading, and the role that advanced age has on these relationships. Within this framework, the proposed program of research will generate novel insights into the basic mechanisms underlying dynamics of the pelvis during lateral impacts. For the 5-year horizon of the proposed grant, my short-term objectives are to characterize system state parameters of the body at the moment of impact initiation during lateral falls on the hip (Theme 1). This knowledge will inform the medium-term objectives of developing and validating a robust mathematical model that accurately predicts the loads applied to the pelvis during fall-related impacts. The initial stages of model development will focus on low-energy impacts from human volunteers (Theme 2). Specifically, 200 human participants will undergo low-energy sideways falls on the hip in a variety of body configurations. Data collected will include applied forces, pressure distribution, kinematics, and muscle activation levels. In addition, detailed skeletal geometry and body composition assessments will be conducted using dual x-ray absorptiometry, ultrasound, and body impedance analysis. The resulting data will be used to develop a mathematical model that accurately predicts the time-varying loads applied to the lateral pelvis during sideways falls on the hip. A variety of model types will be evaluated including: i) lumped-parameter; ii) Hertzian contact; and iii) multiple regression approaches. The most promising model will undergo initial validation using a subset of participant data. In Theme 3, cadavers (accessed through the University of Waterloo's School of Anatomy) will be used to further validate, or refine, the pelvic model of impact. In addition to replicating the low severity impacts performed by human volunteers, model validation will be extended to higher energy impacts more representative of worst-case fall scenarios. Theme 4 of the research will employ similar approaches, but will utilize mechanical hip impact simulators (i.e. a drop tower) to generate the experimental data used for subsequent model validation/refinement. The final phase of the proposed research (Theme 5) will utilize all experimental paradigms to investigate the ability of novel engineering devices and materials to alter impact dynamics during lateral falls on the hip. In summary, the proposed research is novel in its use of complementary research paradigms that will collectively result in a robust, and extremely well-validated, musculoskeletal model of the pelvis in response to lateral impacts. In addition, the resulting data will provide fundamental insights into the biomechanical properties of engineering-based protective devices and materials which could be integrated into the design of more effective products in future research applications.

我的一般兴趣领域是与组织负荷相关的肌肉骨骼生物力学，以及高龄对这些关系的作用。在此框架内，拟议的研究计划将对侧向撞击期间骨盆动力学的基本机制产生新的见解。对于拟议拨款的 5 年期限，我的短期目标是表征髋部横向跌倒期间碰撞开始时身体的系统状态参数（主题 1）。这些知识将为开发和验证稳健的数学模型的中期目标提供信息，该模型可以准确预测在跌倒相关影响期间施加到骨盆的负载。模型开发的初始阶段将重点关注人类志愿者的低能量影响（主题 2）。具体来说，200 名人类参与者将以各种身体形态进行低能量侧向髋部跌倒。收集的数据将包括施加的力、压力分布、运动学和肌肉激活水平。此外，还将使用双 X 射线吸收测定法、超声波和身体阻抗分析进行详细的骨骼几何形状和身体成分评估。所得数据将用于开发一个数学模型，该模型可以准确预测在臀部侧向跌倒期间施加到横向骨盆的随时间变化的负载。将评估各种模型类型，包括： i) 集总参数； ii) 赫兹接触； iii) 多元回归方法。最有前途的模型将使用参与者数据的子集进行初步验证。在主题 3 中，尸体（通过滑铁卢大学解剖学院获取）将用于进一步验证或完善骨盆撞击模型。除了复制人类志愿者造成的低严重性影响外，模型验证还将扩展到更能代表最坏跌倒场景的更高能量影响。研究主题 4 将采用类似的方法，但将利用机械髋部冲击模拟器（即落塔）来生成用于后续模型验证/细化的实验数据。拟议研究的最后阶段（主题 5）将利用所有实验范例来研究新型工程设备和材料在髋部横向跌倒期间改变冲击动力学的能力。总之，所提出的研究在使用互补研究范式方面是新颖的，这些范式将共同产生一个稳健且经过验证的骨盆肌肉骨骼模型，以响应横向冲击。此外，所得数据将为基于工程的防护装置和材料的生物力学特性提供基本见解，这些特性可以集成到未来研究应用中更有效产品的设计中。