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首页> 外文期刊>European Journal of Translational Myology >Methods for dynamic characterization of the major muscles activating the lower limb joints in cycling motion
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Methods for dynamic characterization of the major muscles activating the lower limb joints in cycling motion

机译:动态表征自行车运动中激活下肢关节的主要肌肉的方法

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摘要

The functional activation, through electrical stimulation, of the lower limb consisting of several deficient muscles requires well-patterned and coordinated activation of these muscles. This study presents a method for characterizing the parameters of the major muscle groups controlling the ankle and knee joints in cycling motion, the latter having particular significance in the rehabilitation of locomotion. To lower mechanical indeterminacy in the joints the system is reduced by grouping the muscles acting in synergism. The joint torques were calculated by inverse dynamics methods from cycling motion data, including kinematics and foot/pedal reaction loads (forces, moments). The mechanical indeterminacy was resolved by applying optimization criteria and the individual muscle torques were parceled-out from the joint torques. System identification of the individual muscles, part of which being bi-articular, in this non-isometric condition was performed from the relationship between the evaluated force and the measured EMG of each the muscles, using both first and second order linear transfer functions. Feasibility of the presented method was demonstrated through the computation of the coefficients of the muscles involved and validating the results on the experimental data obtained from one subject.
机译:通过电刺激下肢肌肉的功能性激活,其中下肢由几种不足的肌肉组成,需要对这些肌肉进行精心设计和协调的激活。这项研究提出了一种表征自行车运动中控制踝关节和膝关节的主要肌肉群参数的方法,后者在运动康复中具有特殊意义。为了降低关节的机械不确定性,可通过对协同作用的肌肉进行分组来减少系统。通过逆动力学方法从自行车运动数据(包括运动学和脚/踏板反作用载荷(力,力矩))中计算关节扭矩。通过应用优化标准解决机械不确定性,并从关节扭矩中分离出各个肌肉扭矩。使用一阶和二阶线性传递函数,根据评估力与每个肌肉的测得肌电图之间的关系,对这种非等距条件下的部分肌肉进行系统识别,其中一部分是双关节的。通过计算所涉及的肌肉的系数并验证从一个受试者获得的实验数据的结果,证明了所提出方法的可行性。

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