Neuromuscular control of joint stability and knee loading during weight bearing

负重过程中关节稳定性和膝关节负荷的神经肌肉控制

• 批准号: RGPIN-2015-05932
• 负责人: Benoit, Daniel
• 金额: $ 1.75万
• 依托单位: University of Ottawa
• 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=630158
• 关键词: Neuromuscular; control; joint; stability; knee

The longterm goal of my research program is to answer the following questions: (1) is there an optimal muscle activation strategy to optimise functional knee joint stability?; (2) what does the central nervous system (CNS) use as input to govern this strategy?; (3) can individuals with knee instability learn this strategy? The first question is the basis of my NSE research and to answer it I have developed three complimentary research streams: in vivo measurements of electromyography (EMG), kinematics and ground reaction forces (GRF) during controlled static and dynamic tasks; in silico modelling of these tasks which provides relationships between the EMG, kinematics, kinetics and CNS control strategies; in vitro simulation of our in vivo and in silico results to serve as a validation for our hypotheses and test strategies we identify as key to knee stabilisation.

我的研究计划的长期目标是回答以下问题：（1）是否有一个最佳的肌肉激活策略，以优化功能性膝关节稳定性？(2)中枢神经系统（CNS）使用什么作为输入来控制这一策略？(3)膝关节不稳定的人可以学习这种策略吗？第一个问题是我的NSE研究的基础，为了回答这个问题，我开发了三个互补的研究流：在受控静态和动态任务期间的肌电图（EMG），运动学和地面反作用力（GRF）的体内测量;这些任务的计算机建模，提供EMG，运动学，动力学和CNS控制策略之间的关系;体外模拟我们的体内和计算机模拟结果，以验证我们的假设和测试策略，我们认为这是膝关节稳定的关键。