负重深蹲过程中下肢冗余肌肉力分析

Redundant muscular force analysis of lower limbs during squat lifting

人体负重深蹲过程中下肢肌力协调机理分析是康复工程和体育科学的重要课题。该文建立了4刚体10组肌肉的肌骨生物力学模型,引入约束最优化方法和最优控制理论求解了冗余肌肉力分布和神经控制信号。理论计算与实验测量结果表明:在人体负重深蹲运动过程中,神经系统将肌肉结成不同的协同肌群,并将最小疲劳作为目标函数,来控制不同的协调肌群按照特定的时序结构执行运动的加速和姿态的控制。

Muscular coordination analysis of lower limbs during squat lifting is an important part of rehabilitation engineering and gymnastic science. A biomechanical model was developed for human lower limbs, combining 4 rigid bodies and 10 musculotendons. The model was used to analyze the redundant muscular force distributions and the related neural control signals using parameter optimization and optimal control theory. The results show that synergistic muscles are build up by the neural control signals using a minimum fatigue criterion during human squat lifting, with distinct phases that include the acceleration during the initiatial movement and the posture at the final specified position.