A RIGID BODY DATABASE ON NORMAL GAIT

正常步态的刚体数据库

• 批准号: 5201217
• 负责人: S J STANHOPE
• 金额: --
• 依托单位: CLINICAL CENTER
• 依托单位国家: 美国
• 资助国家: 美国
• 起止时间: 至
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/5201217
• 关键词: ankle; balance; biomechanics; computer data analysis; gait; human subject; information systems; knee; model design /development; physical model; video recording system

The purpose of gait analysis is to quantify a person's walking pattern and the neuromuscular strategies used by the body 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. The purpose of our research is to investigate more complex models of the body to learn how these models affect mechanical work estimates. The 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 has been completed and presented. A third study involving another 15 subjects produced a dramatically improved model of the foot. A final study, currently underway, is investigating the effect of dramatically different walking speeds on the mechanics of walking. It is hypothesized that two modes of walking exist rather than a continuum of a single walking strategy. 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.

步态分析的目的是量化一个人的行走模式和 身体使用的神经肌肉策略来产生观察到的 有动静。计算机摄像机系统测量运动模式 地板上内置的特殊平台可以测量作用在地板上的力 脚。从测量的运动和力来看，由 行走过程中的身体可以被估计。目前的技术用于 近似功过分简化了人体及其运动的模型， 在估计中引入误差。我们研究的目的是 研究更复杂的身体模型，了解这些模型是如何 影响机械工程量估算。对10名正常受试者的研究 研究了在步态过程中在脚踝关节所做的工作已经发表。 这项研究使用了一个更复杂的脚踝关节模型和 在机械工作中包括以前忽略的附加术语 计算。 来自另一项研究的数据，该研究检查了在 膝关节已经完成并呈现。第三项研究涉及 另外15名受试者制作了一个显著改进的脚部模型。一个 目前正在进行的最后一项研究正在调查 在行走机制上，行走速度截然不同。它是 假设存在两种步行模式，而不是一个连续统一体 单一的行走策略。这些研究的结果表明， 完整且在数字上一致的人体力学特征 行动是可行的。将这些分析技术应用于 对人体运动的评估将对康复和 在患者群体中进行外科治疗。