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在水平面学习快速屈肘的建模研究——肌肉力量和运动单位活动的预测

Modeling investigation of learning a fast elbow flexion in the horizontal plane--prediction of muscle forces and motor units action.

作者信息

Raikova R T, Gabriel D A, Aladjov H Ts

机构信息

Centre of Biomedical Engineering, Bulgarian Academy of Sciences, Acad. G. Bonchev Street, Block 105, 1113, Sofia, Bulgaria.

出版信息

Comput Methods Biomech Biomed Engin. 2006 Aug;9(4):211-9. doi: 10.1080/10255840600795413.

Abstract

Experimental investigation of practicing a dynamic, goal-directed movement reveals significant changes in kinematics. Modeling can provide insight into the alterations in muscle activity, associated with the kinematic adaptations, and reveal the potential motor unit (MU) firing patterns that underlie those changes. In this paper, a previously developed muscle model and software (Raikova and Aladjov, Journal of Biomechanics, 35, 2002) have been used to investigate changes in MU control, while practicing fast elbow flexion to a target in the horizontal plane. The first trial (before practice) and the last trial (after extensive practice) of two subjects have been simulated. The inputs for the simulation were the calculated external moments at the elbow joint. The external moments were countered by the action of three flexor muscles and two extensor ones. The muscles have been modeled as a mixture of MUs of different types. The software has chosen the MU firing times necessary to accomplish the movement. The muscle forces and MUs firing statistics were then calculated. Three hypotheses were tested and confirmed: (1) peak muscle forces and antagonist co-contraction increase during training; (2) there is an increase in the firing frequency and the synchronization between MUs; and (3) the recruitment of fast-twitch MUs dominates the action.

摘要

对进行动态、目标导向运动的实验研究揭示了运动学方面的显著变化。建模可以深入了解与运动学适应相关的肌肉活动变化,并揭示这些变化背后潜在的运动单位(MU)放电模式。在本文中,我们使用了之前开发的肌肉模型和软件(Raikova和Aladjov,《生物力学杂志》,35卷,2002年)来研究在练习快速屈肘至水平面上的目标时运动单位控制的变化。模拟了两名受试者的第一次试验(练习前)和最后一次试验(大量练习后)。模拟的输入是肘关节处计算出的外力矩。外力矩由三块屈肌和两块伸肌的作用来抵消。肌肉被建模为不同类型运动单位的混合体。该软件选择了完成运动所需的运动单位放电时间。然后计算肌肉力量和运动单位放电统计数据。测试并证实了三个假设:(1)训练期间肌肉力量峰值和拮抗肌共同收缩增加;(2)运动单位的放电频率和同步性增加;(3)快肌运动单位的募集起主导作用。

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