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A weighted cost function to deal with the muscle force sharing problem in injured subjects: A single case study

机译:加权成本函数处理受伤受试者的肌肉力量共享问题:单例研究

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摘要

The human body is an over-actuated multi-body system, as each joint degree of freedom can be controlled by more than one muscle. Solving the force-sharing problem (i.e. finding out how the resultant joint torque is shared among the muscles actuating that joint) calls for an optimization process where a cost function, representing the strategy followed by the central nervous system to activate muscles, is minimized. The main contribution of the present study has been the particular formulation of that cost function for the case of the pathological gait of a single subject suffering from anterior cruciate ligament rupture. Our hypothesis was that the central nervous system does not weight equally the muscles when trying to compensate for a lower limb injury during gait (in contrast to what is the usual practice for healthy gait where all muscles are weighted equally). This hypothesis is supported by the fact that muscle activity in injured individuals differs from that of healthy subjects. Different functions were tested until we finally came out with a cost function that was consistent with experimental electromyography measurements and inverse dynamics results for a subject suffering this particular pathology.
机译:人体是一个过度驱动的多体系统,因为每个关节的自由度都可以由不止一根肌肉来控制。解决力共享问题(即找出如何在驱动该关节的肌肉之间共享所产生的关节扭矩)需要优化过程,其中成本函数(代表中枢神经系统激活肌肉的策略)被最小化。本研究的主要贡献是针对单个患者遭受前交叉韧带破裂的病理步态的情况,该费用函数的特定公式。我们的假设是,在尝试补偿步态下肢受伤时,中枢神经系统无法平均平衡肌肉的重量(与健康步态中所有肌肉均权重的通常做法相反)。受伤个体的肌肉活动与健康受试者的肌肉活动不同的事实支持了该假设。测试了不同的功能,直到我们最终得出与实验性肌电图测量结果一致的成本函数,并得出了患有这种特殊病理学的受试者的逆动力学结果。

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