Empirical Quantification and Computational Modeling of Contributions to Knee Joint Exposures

对膝关节暴露的贡献的经验量化和计算模型

• 批准号: 418647-2012
• 负责人: Acker, Stacey
• 金额: $ 1.68万
• 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: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=638478
• 关键词: Empirical; Quantification; Computational; Modeling; Contributions

Deep knee bending (high flexion) postures, such as squatting and kneeling, are part of many common activities of daily living, including household chores, playing with children, and religiously and culturally significant practices such as prayer. For trade workers (carpet layers, manual materials handlers, miners), the high flexion needed to accomplish floor-level tasks has been associated with increased risk of knee injury and tissue damage, costing the industry and the individual in lost time, productivity, and quality of life. The proposed research program will quantify factors that are known to contribute to knee joint exposures for the full range of flexion and then use these findings to refine a biomechanical model of the human knee joint that is applicable to all knee flexion angles.Accurate biomechanical modeling is essential to a good understanding of the function and malfunction of the human knee joint, but we are lacking the building blocks required to create a physiologically accurate knee joint model for high flexion tasks. The proposed research will systematically quantify parameters that define how the components of the knee joint act and interact to create knee joint motion during high flexion activities of daily living. In addition, the contact between the back of the thigh and calf that is unique to high flexion tasks will be studied to determine its effect in off-loading the knee joint and its relationship with body size. These findings will facilitate the prediction of knee joint exposures that may lead to injury for high flexion activities of daily living. By providing this detailed understanding of what the knee joint is exposed to in high flexion, my research will contribute to applied discoveries in work task and tool modification, biomaterials and prosthetics design, and injury prevention and treatment that will reduce the personal and econonical burdens associated with knee joint injury and disease.

深屈膝(高屈)姿势，如蹲下和跪下，是日常生活中许多常见活动的一部分，包括家务、与孩子玩耍，以及具有宗教和文化意义的做法，如祈祷。对于贸易工人(地毯层、手工材料搬运工、矿工)来说，完成地板水平的任务所需的高度屈曲与膝盖损伤和组织损伤的风险增加相关，从而使行业和个人损失时间、生产力和生活质量。拟议的研究计划将量化已知的导致膝关节在全屈曲范围内暴露的因素，然后利用这些发现来完善适用于所有膝关节屈曲角度的人类膝关节的生物力学模型。准确的生物力学建模对于更好地了解人类膝关节的功能和故障是必不可少的，但我们缺乏为高屈曲任务创建生理上准确的膝关节模型所需的构建块。这项拟议的研究将系统地量化参数，这些参数定义了在日常生活中的高屈曲活动期间，膝关节的组成部分如何作用和相互作用来创造膝关节运动。此外，还将研究大腿后部和小腿之间的接触，这是高度屈曲任务所特有的，以确定其在卸载膝关节方面的效果及其与身体尺寸的关系。这些发现将有助于预测膝关节暴露可能导致日常生活中的高屈曲活动损伤。通过提供对膝关节在高屈曲状态下暴露于什么的详细了解，我的研究将有助于在工作任务和工具修改、生物材料和假肢设计以及伤害预防和治疗方面的应用发现，从而减少与膝关节损伤和疾病相关的个人和经济负担。