课题基金 / 基金详情

Dynamic analysis of the knee after total joint arthroplasty by hardware-in-the-loop simulation

Dynamic analysis of the knee after total joint arthroplasty by hardware-in-the-loop simulation
全关节置换术后膝关节的半实物仿真动态分析
批准号:
235922259
负责人:
Professor Dr. Rainer Bader
金额:
$0.0万
依托单位国家:
德国
项目类别:
Research Grants
财政年份:
2013
资助国家:
德国
项目状态:
已结题
起止时间:
2012-12-31 至 2016-12-31

项目摘要

项目成果

Professor Dr. Rainer Bader的其他基金

相似基金

相关文献

中文摘要
翻译
点击翻译按钮获取中文摘要
英文摘要
Despite sophisticated implant designs every fourth patient remains dissatisfied with the clinical and functional outcome after total knee arthroplasty. Discontentment as well as occurring complications usually result into restricted mobility of the patient and subsequent implant failure requiring revision surgery. However, it has not been possible so far to investigate failure mechanisms as well as kinematics and load situation of knee endoprostheses under physiological circumstances by use of established testing methods.The objective of this proposal is to develop a novel robot-based test system in order to investigate knee endoprostheses with respect to joint kinematics and dynamic stability behavior with high accuracy. The approach is taking into account adjacent ligaments and capsular structures, and allows for evaluation of implant components and surgical techniques. Frequent and potential failure causes are revealed by comparing motion patterns of native knee joints and after total knee arthroplasty.Relevant ligaments, capsular and muscular structures have been insufficiently addressed in experimental setups under reproducible conditions so far. Hence, our approach is to implement the adjacent soft tissue structures into a biomechanical model. The real implant components are moved and loaded by an industrial robot serving as actuator system. At the same time, the biomechanical model communicates with the robot within a Hardware-in-the-Loop (HiL) control loop exchanging kinematic and force data in real time. As a result, the movement and loading of knee endoprostheses are generated taking into consideration soft tissue structures and real contact conditions in a reproducible and unique manner.In preliminary work we have already successfully implemented the HiL environment for total hip replacements. However, an optimised approach is required for investigating knee endoprostheses due to the complexity of the knee joint. Hence, the native kinematics as well as the mechanical properties of surrounding ligaments and capsular structures have to be identified by testing cadaveric knees using the robot. Based on the gained data the biomechanical model is built-up. Furthermore, the sensory and control system of the physical setup is adapted to the knee joint followed by the configuration and the validation of the HiL environment. Based on HiL simulations variations of implant designs, implant positioning and surgical techniques are considered and their impact on joint kinematics and load situation will be evaluated. Moreover, finite element analyses are conducted using the results of the HiL simulations as boundary conditions in order to determine stresses, strains and contact pressure in the artificial knee joint.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Hardware-in-the-Loop Simulation for Dynamic Analysis of the Shoulder after Total Joint Replacement
Biological activity of metallic wear particles and metal ions in vitro and in vivo
Dynamische Analyse der Luxation von Hüftendoprothesen durch Hardware-in-the-Loop-Simulation (HiLux)
Modellbildung und Simulation der Feldverteilung von großflächigen, elektro-stimulierenden Implantaten für die Orthopädische Chirurgie
  • 批准号:
    48513284
  • 项目类别:
    Research Grants
  • 资助金额:
    $0.0万
  • 财政年份:
    2007
  • 负责人:
    Professor Dr. Rainer Bader
  • 依托单位:
国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
Intelligent Patent Analysis for Optimized Technology Stack Selection:Blockchain BusinessRegistry Case Demonstration
  • 批准号:
    --
  • 项目类别:
    外国学者研究基金项目
  • 资助金额:
    --
  • 批准年份:
    2024
  • 负责人:
    USHARANI HAREESH GOVINDARA JAN
  • 依托单位:
利用全基因组关联分析和QTL-seq发掘花生白绢病抗性分子标记
基于SERS纳米标签和光子晶体的单细胞Western Blot定量分析技术研究
  • 批准号:
    31900571
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    24.0万元
  • 批准年份:
    2019
  • 负责人:
    刘兵
  • 依托单位: