A RIGID BODY DATABASE ON NORMAL GAIT

步态分析的目的是量化一个人的行走 以及身体用来产生的神经肌肉策略 观察到的运动。一个电脑摄像系统测量 运动模式和地板上的特殊平台 测量作用在脚上的力。从测量的运动和 力，身体在行走过程中所做的机械功可以是 目前用于估算工作量的技术过于简化 身体及其运动的模型，并将误差引入 估计。 我们的研究正在调查更复杂的身体模型， 了解这些模型如何影响机械功估计。一项研究 10名正常受试者检查踝关节的工作 已经发表了。这项研究采用了一个更 复杂的踝关节模型，并包括额外的 在机械功计算中，以前忽略的术语。 来自另一项研究的数据，该研究检查了 膝关节，已经完成并提交。第三项研究 涉及15名受试者产生了一个显着改善的模型， 脚目前正在进行一项研究， 在行走的力学上有着显著的不同速度。是 假设存在两种行走模式，而不是连续体 一个单一的行走策略。最后一项研究， 完成，评估一种新的技术，以确定每个角色 下肢的主要肌肉群起着提供支撑的作用 和行走时身体的推进力。的结果予以 研究表明，一个完整的和数字上一致的 人体运动的机械表征是可行的。的 这些分析技术的应用，以评估人类 运动将对康复和外科手术产生影响 患者群体的治疗。

The purpose of gait analysis is to quantify a person's walking pattern and the neuromuscular strategies the body uses to produce the observed movement. A computerized video camera system measures the movement pattern, and special platforms built into the floor measure forces acting on the feet. From the measured movements and forces, the mechanical work done by the body during walking can be estimated Current techniques used to approximate work oversimplify the model of the body and its movements and introduce errors into the estimates. Our research is investigating more complex models of the body to learn how these models affect mechanical work estimates. One study of 10 normal subjects that examined the work done at the ankle joint during gait has been published. The study employed a more sophisticated model of the ankle joint and included additional terms, previously ignored, in the mechanical work calculations. Data from another study, which examined the mechanical work done at the knee joint, have been completed and presented. A third study involving 15 subjects produced a dramatically improved model of the foot. A study currently under way is investigating the effect of dramatically different speeds on the mechanics of walking. It is hypothesized that two modes of walking exist rather than a continuum of a single walking strategy. A final study, which is near completion, evaluate a new technique for determining the role each major muscle group of the lower extremity plays in providing support to and propulsion of the body during walking. The results of these studies suggest that a complete and numerically consistent mechanical characterization of human movement is feasible. The application of these analytic techniques to the evaluation of human motion will have implications for rehabilitation and surgical treatment in patient populations.