Knee Stability under Time-Varying Multiple-Muscle Loads

时变多肌肉负荷下的膝关节稳定性

• 批准号: 7127055
• 负责人: ROGER V GONZALEZ
• 金额: $ 20.68万
• 依托单位: LETOURNEAU UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-09-01 至 2010-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7127055
• 关键词: knee; ligaments; model; muscle; postmortem

DESCRIPTION (provided by applicant): Quantifying knee-stability mechanics, especially under physiological loading conditions (i.e., time-varying multiple-muscle loads), is critical to understanding the broader aspects of multiple muscle contributions in light of knee ligament failure. The focus of this research is to develop a computational model verified by a sophisticated cadaver-robotic setup to investigate the how knee ligament strain, tibial movement, and intersegmental forces are affected by time-varying muscle loads in synchronous dynamic postures in both ACL impaired and un-impaired knees. The long-term aim is to gain further understanding of the means and extent to which functional ACL-Deficient (ACL-D) subjects reduce associated ligament strain. Quantitative measurements on cadaver ligament strain will be performed as part of the larger effort to quantify knee stability. Synergistic experimental and computational methods will be implemented and lead to the development of (1) an experimental apparatus and procedure to mimic in-vivo knee loading conditions, and (2) a graphical-computational knee model verified by experimental data. These incorporate existing data from human-motion studies, a robot-cadaver experimental set-up, and computational modeling. Previous human-motion studies will provide the data for both the experimental and computational approaches. Both approaches will quantify ligament strain and joint stability parameters. Statistical comparisons between the robot-cadaver and computational model will be used to assess and refine the model. Once verified, the model can be used to investigate other knee [instability parameters and ACL-D muscle recruitment. This proposal outlines the first steps toward establishing a quantitative model for assessment of ligament strain, especially as it relates to subjects with ACL injuries and who have modified their muscle recruitment strategy to remain fully functional. Understanding of such mechanisms could lead to non-surgical physical therapy interventions and thus reduce the need for a surgical intrusion.

描述(申请人提供)：量化膝关节稳定性力学，特别是在生理负荷条件下(即，时变的多肌肉负荷)，对于理解膝关节韧带失效时多肌肉作用的更广泛方面至关重要。这项研究的重点是开发一个计算模型，通过复杂的身体-机器人装置进行验证，以研究在同步动态姿势下，膝关节韧带张力、胫骨运动和节间力是如何受到时变肌肉负荷的影响的，无论是前交叉韧带受损的还是未受损的膝关节。长期目标是进一步了解功能性前交叉韧带缺陷(ACL-D)受试者减少相关韧带拉伤的方法和程度。对身体韧带拉伤的定量测量将作为量化膝关节稳定性的更大努力的一部分。协同的实验和计算方法将被实施，并导致(1)模拟体内膝关节载荷条件的实验设备和程序的开发，以及(2)经实验数据验证的图形-计算膝关节模型的开发。这些数据融合了人体运动研究、机器人-身体实验装置和计算模型的现有数据。之前的人体运动研究将为实验和计算方法提供数据。这两种方法都将量化韧带应变和关节稳定性参数。机器人身体和计算模型之间的统计比较将用于评估和改进模型。一旦得到验证，该模型可用于研究其他膝关节[不稳定参数]和ACL-D肌肉招募。这项建议概述了建立评估韧带拉伤的量化模型的第一步，特别是当它与患有前交叉韧带损伤的受试者有关，并且他们已经修改了肌肉招募策略以保持完全功能。对这种机制的了解可以导致非手术物理治疗干预，从而减少手术侵入的必要性。