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.

我的一般感兴趣领域是与组织负荷有关的肌肉骨骼生物力学以及高龄年龄在这些关系中的作用。在此框架内，提出的研究计划将产生对侧面影响过程中骨盆动态基本机制的新见解。对于拟议的赠款的5年范围，我的短期目标是表征在臀部侧向侧面侧面侧面影响启动时身体的系统状态参数（主题1）。这些知识将为开发和验证强大的数学模型的中期目标提供信息，该目标准确地预测了与跌倒相关的影响期间施加到骨盆的载荷。模型开发的初始阶段将集中于人类志愿者的低能影响（主题2）。具体来说，有200名参与者会以各种身体构型的臀部侧向进行低能的侧面。收集的数据将包括施加力，压力分布，运动学和肌肉激活水平。此外，将使用双X射线吸收仪，超声和身体阻抗分析进行详细的骨骼几何形状和身体组成评估。所得数据将用于开发一个数学模型，该模型准确预测侧向侧面骨盆上施加的时间变化载荷落在臀部上。将评估各种模型类型，包括：i）集团参数； ii）赫兹的联系； iii）多种回归方法。最有希望的模型将使用参与者数据的子集进行初始验证。在主题3中，将使用尸体（通过滑铁卢大学的解剖学访问）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所施加的低严重程度影响外，模型验证还将扩展到更高的能量影响，更代表了最坏情况下的秋季情景。该研究的主题4将采用类似的方法，但将利用机械髋关节冲击模拟器（即Drop Tower）来生成用于后续模型验证/改进的实验数据。拟议研究的最后阶段（主题5）将利用所有实验范式来研究新型工程设备和材料在髋部侧向下降期间改变影响动态的能力。总而言之，拟议的研究是对互补研究范式的使用新颖的，这些研究范式将共同导致骨盆的强大且极其验证的肌肉骨骼模型，以响应侧向影响。此外，最终的数据将提供对基于工程的保护设备和材料的生物力学特性的基本见解，这些材料可以集成到未来研究应用中更有效产品的设计中。