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: 2015
• 资助国家: 加拿大
• 起止时间: 2015-01-01 至 2016-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=573765
• 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.

深膝弯曲（高弯曲）姿势，例如蹲和跪下，是许多日常生活的许多常见活动的一部分，包括家务，与孩子一起玩，以及宗教和文化上重要的做法，例如祈祷。 对于贸易工作者（地毯层，手动材料处理人员，矿工），完成地板层的任务所需的高屈曲与增加膝关节受伤和组织损伤的风险增加，使行业和个人在浪费的时间，生产力和生活质量中造成损失。 拟议的研究计划将量化已知会导致全部屈曲范围的膝关节暴露的因素，然后使用这些发现来完善适用于所有膝盖屈曲角的人膝关节的生物力学模型。 准确的生物力学建模对于对人膝关节的功能和功能失常的良好理解至关重要，但是我们缺少创建生理上准确的膝关节关节模型来实现高屈曲任务所需的构件。拟议的研究将系统地量化参数，以定义膝关节的组成部分如何在日常生活的高屈曲活动中进行膝关节运动。 此外，将研究大腿背部和小腿背面之间独有的屈曲任务的接触，以确定其在卸载膝关节及其与身体大小的关系方面的影响。 这些发现将有助于预测膝关节暴露，这可能会导致日常生活的高屈曲活动受伤。 通过提供对膝关节在高屈曲中暴露的详细了解，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预防伤害和治疗方面的应用发现，这将减少与膝盖关节伤害和疾病相关的个人和经济负担。