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为探讨运动生物力学建模与分析的基础性问题,以下肢步态为研究对象建立了包含神经兴奋肌肉收缩动力响应和肌肉肌腱动力特性在内的下支系统正向动力学分析模型,并针对自然步态的运动过程,采用参数最优化方法进行了模拟计算。计算结果与实验测量的比较表明:正向动力学方法可将肢体运动状态、肌肉收缩力、神经控制信号等联系起来,求解人体步态的控制模式。该文建立的模型和计算方法为下肢运动的模拟分析和人体冗余运动控制机理的研究提供了基本的分析工具。
In order to explore the basic problems in the modeling and analysis of sports biomechanics, the dynamic model of the inferior branch system including the dynamic response of muscle excitability and the dynamic characteristics of muscle tendon was established using the gait of the lower limb as the research object. Natural gait movement process, the use of parameter optimization method for the simulation. The comparison between the calculated results and the experimental measurements shows that the forward kinematics method can be used to solve the control mode of the human gait by linking the limb movement status, muscle contractility, neural control signals and so on. The model and calculation method established in this paper provide the basic analysis tools for the simulation analysis of lower extremity movement and the research on the redundant motion control mechanism of human body.