A Rigid Body Database on Human Movement

准确预测疾病和治疗对个人功能的影响的能力完全取决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。这个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、身体部分和整体功能运动任务表现的影响。之前对一组正常步行者的数据进行的一项技术应用清楚地表明，跨越脚踝关节的肌肉是正常行走能力的主要贡献者。涉及身体障碍患者的临床病例研究继续揭示了大量的代偿性运动控制策略。根据这一方案正在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并预测身体残疾的能力的基础。

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.