INTERMUSCULAR COORDINATION OF MOVEMENT

肌肉间运动的协调

• 批准号: 3397729
• 负责人: FELIX E ZAJAC
• 金额: $ 26.76万
• 依托单位: STANFORD UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 1982
• 资助国家: 美国
• 起止时间: 1982-07-01 至 1994-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/3397729
• 关键词: ankle; biological models; biomechanics; cats; cinematography; computer assisted diagnosis; computer simulation; computer system design /evaluation; electromyography; exercise; hip; knee; limb movement; mathematical model; muscle contraction; neuromuscular function; posture; sports medicine; striated muscles; tendons

The ongoing aim of this project is to develop a novel, computer- based technique that can be used to delineate, in the human, the neural control and biomechanical mechanisms associated with complex lower extremity motor tasks. Eventually, it is our goal to be able to use this technique to specify the motor coordination strategies that the human central nervous system ought to employ to stand and walk, first in able-bodied persons and later in neurologically- or musculoskeletally-disabled persons. Another goal is to use this technique to assist in the design of patient- specific rehabilitation strategies. Once developed, therefore, this technique may well lead to improved methods of neurological and physical rehabilitation. The computer technique under development is based on optimal control theory, which is highly-developed framework for analysis of complex dynamical systems. However, this theory requires a mathematical formulation of the task to be optimized. One major problem associated with the few previous attempts employing this theory is that the performance criterion cannot be specified with certainty. Our study of maximum jumps and pedaling at high effort circumvents this problem and has let us focus on the development of a mathematical, computer-implemented representation of musculotendon dynamics and musculoskeletal geometry. This representation is needed for computer studies of jumping and pedaling, as well as any motor task involving the lower extremities. The goals are, by using jumping and pedaling as examples of complex motor tasks, to conduct computer studies and experiments: 1. to comprehend how intermuscular coordination, inertial coupling among body segments, musculotendinoskeletal dynamics, and energetics interact to produce synergistic movement; and 2. to understand how muscle strength and speed, elasticity in tendon and muscle, and kinematic constraints affect human coordination and energetics. In contrast to experimental data alone, it is hypothesized that our computer studies will augment one's ability to understand complex movement, such as how and to what degree muscles need to be coordinated, and how limb structure and biomechanical constraints affect coordination.

该项目的持续目的是开发一个新颖的计算机 - 可以用来描绘人类的基于的技术 神经控制和生物力学机制 复杂的下肢运动任务。 最终，这是我们的目标 能够使用此技术来指定电动机协调 人类中枢神经系统应该采用的策略 站立和行走，首先是身体健全的人，然后 神经学或肌肉骨骼障碍的人。 其他 目标是使用此技术来协助设计患者 - 具体的康复策略。 因此，一旦发展 技术可能会导致改进的神经系统方法和 身体康复。 开发的计算机技术基于最佳 控制理论，这是高度发达的分析框架 复杂的动力系统。 但是，这个理论需要一个 要优化的任务的数学公式。 一个主要 与以前的一些尝试相关的问题 理论是不能指定性能标准 肯定。 我们对最大跳跃和高踏板的研究 努力解决了这个问题，让我们专注于 数学，计算机成就的开发 Musculotendon动力学和肌肉骨骼的代表 几何学。 对于计算机研究需要此表示 跳跃和踩踏以及任何涉及的电动机任务 下肢。 目标是通过使用跳跃和踏板作为示例 复杂的运动任务，进行计算机研究和 实验： 1。理解肌间协调如何 身体段之间的耦合，肌肉骨骼骨骼动力学， 能量学相互作用以产生协同运动；和 2。了解肌肉力量和速度如何 肌腱和肌肉以及运动学约束影响人类 协调和能量学。 与仅实验数据相反，假设我们 计算机研究将增强人们理解复杂的能力 运动，例如如何以及在多大程度上需要肌肉 协调以及肢体结构和生物力学 约束会影响协调。