A RIGID BODY DATABASE ON NORMAL GAIT

正常步态的刚体数据库

• 批准号: 3752290
• 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/3752290
• 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. One study of 10 normal subjects that examined the work done at the ankle joint during gait has been accepted for publication. 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. A third study involved 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 the 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并 身体用来产生观察到的神经肌肉策略 移动。 计算机视频摄像系统测量运动 地板上内置的图案和特殊平台可测量作用力 在脚上。 根据测量的运动和力，机械功 可以估计步行期间身体所做的事情。 目前使用的技术 为了近似做功，过度简化了身体及其运动的模型 并将误差引入估计中。 我们研究的目的是 研究更复杂的身体模型，了解这些模型如何 影响机械功估计。 一项针对 10 名正常受试者的研究表明 检查步态期间踝关节所做的工作已被接受 供出版。 该研究采用了更复杂的模型 踝关节，并包括以前被忽略的附加术语，在 机械功计算。 另一项研究的数据，该研究检查了在 膝关节已完成。 第三项研究涉及另外 15 名受试者 制作了一个显着改进的足部模型。 最后的研究， 目前正在进行中，正在调查显着不同的影响 步行速度取决于步行的力学。 假设两个 步行模式的存在而不是单一步行的连续体 战略。 这些研究的结果表明，完整且 人体运动的数值一致的机械特征是 可行的。 这些分析技术在评估中的应用 人体运动将对康复和外科手术产生影响 患者群体的治疗。