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Solution of Redundant Muscle Forces in Human Locomotion with Multibody Dynamics and Optimization Tools

机译:用多体动力学和优化工具解决人体运动中的多余肌肉力

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The analysis of human motion using inverse dynamics approaches allows for the evaluation of the muscle forces based on the knowledge of the kinematics of the human subject and the applied external forces. Owing to the redundant nature of the muscle arrangement, the system of equations available for the solution of the inverse dynamics problem has more unknown muscle forces than available equations. Therefore static optimization techniques are required to obtain a solution of the problem. Emphasizing applications to gait analysis and normal sports activities a whole-body, three-dimensional, biomechanical model of the human muscle-skeletal system is purposed to support the inverse dynamic analysis. In its current state of development, the biomechanical model includes a detailed description of the principal muscles of the locomotion apparatus for the lower limbs while net moments-of-force are used to represent the lumped muscle action about each other anatomical joint of the model.
机译:使用逆动力学方法对人体运动进行分析可以根据对人体运动学知识和所施加外力的了解来评估肌肉力量。由于肌肉排列的冗余性质,可用于求解逆动力学问题的方程组比可用方程具有更多的未知肌肉力。因此,需要静态优化技术来解决该问题。强调在步态分析和正常体育活动中的应用,旨在通过人体肌肉骨骼系统的全身三维生物力学模型来支持逆向动力学分析。在目前的发展状态下,生物力学模型包括对下肢运动设备的主要肌肉的详细描述,而净力力矩则用于表示模型彼此解剖学关节之间的集总肌肉动作。

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