A Rigid Body Database on Human Movement

人体运动的刚体数据库

• 批准号: 6431884
• 负责人: Steven 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/6431884
• 关键词: ankle; balance; biomechanics; clinical research; computer assisted diagnosis; computer data analysis; gait; human subject; information systems; knee; model design /development; physical model; video recording system

The ability to accurately predict the effects of disease and treatment on an individuals ability to function relies entirely on our capacity to understand the complex process that transforms muscular effort into functional movements. The purpose of this project was to extend existing human movement analysis methodology by developing analytical techniques that can provide direct estimates of the influence muscular effort has on the movement of all joints, body segments, and overall functional movement task performance. A previous application of one technique to data from a group of normal walkers clearly indicated the muscles that cross the ankle joint are the primary contributors to normal walking performance. Clinical case studies involving patients with physical impairments continue to reveal a vast array of compensatory movement control strategies. The analytical techniques being developed under this protocol add significantly to the foundation of our ability to ultimately understand the influence of disease on function and to predict the on set of physical disability.

准确预测疾病和治疗对个体功能的影响的能力完全依赖于我们理解将肌肉努力转化为功能性运动的复杂过程的能力。该项目的目的是通过开发分析技术来扩展现有的人体运动分析方法，这些分析技术可以直接估计肌肉努力对所有关节、身体部位的运动和整体功能运动任务性能的影响。先前对一组正常步行者数据的一项技术应用清楚地表明，穿过踝关节的肌肉是正常行走性能的主要贡献者。涉及身体缺陷患者的临床病例研究继续揭示了大量代偿性运动控制策略。根据该议定书开发的分析技术大大增加了我们最终了解疾病对功能的影响和预测一系列身体残疾的能力的基础。