Dynamic analysis of prosthetic structures with polymorphic uncertainty

具有多态不确定性的假体结构的动态分析

• 批准号: 312916115
• 负责人: Professorin Dr.-Ing. Sigrid Leyendecker
• 金额: --
• 依托单位: Lehrstuhl für Technische Dynamik
• 依托单位国家: 德国
• 项目类别: Priority Programmes
• 资助国家: 德国
• 项目状态: 未结题
• 来源: https://gepris.dfg.de/gepris/projekt/312916115?language=en
• 关键词: Dynamic; analysis; prosthetic; structures; polymorphic

People with joint disorders or lower limb loss require a technical substitute that restores biomechanical function and body integrity. Prothetic structures not only need to fulfil their respective functional requirements (allowing a save and wide range of motion at low energy expenditure and without impairing the person's body) but also the appearance of the resulting motion (including aesthetic properties like natural and symmetric gait patterns) is of high relevance. Since measurement of in vivo joint motion and loading is complicated and the experimental testing of newly developed prostheses under real life conditions is very difficult (in particular for experiments concerning human movements with prostheses, there are hardly appropriate probands available), predictive simulation plays a major role. Biomechanical motion can be simulated as solution of an optimal control problem, with a physiologically motivated objective function. However, polymorphic sources of uncertainty are present resulting from the prostheses itself, the way a patient moves or the environment. The overarching goal of this project (phases I and II) is the development of models and structure preserving solution methods for biomechanical optimal control problems involving uncertainty to enable the reliable prediction of human motion with prostheses and their analysis.

患有关节疾病或下肢缺失的人需要技术替代品来恢复生物力学功能和身体完整性。假体结构不仅需要满足它们各自的功能要求（允许在低能量消耗下的节省和宽范围的运动，并且不损害人的身体），而且所产生的运动的外观（包括美学特性，如自然和对称的步态模式）具有高度相关性。由于体内关节运动和载荷的测量是复杂的，并且在真实的生活条件下对新开发的假体进行实验测试是非常困难的（特别是对于关于使用假体的人体运动的实验，几乎没有合适的先证者可用），预测模拟起着重要作用。生物力学运动可以模拟为最优控制问题的解决方案，具有生理动机的目标函数。然而，由于假体本身、患者移动方式或环境，存在多态性不确定性来源。该项目（第一和第二阶段）的总体目标是开发涉及不确定性的生物力学最优控制问题的模型和结构保持解决方案，以实现对假肢及其分析的人体运动的可靠预测。