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Normalized Index of Synergy for Evaluating the Coordination of Motor Commands

机译:用于评估运动命令协调性的标准化协同指数

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摘要

Humans perform various motor tasks by coordinating the redundant motor elements in their bodies. The coordination of motor outputs is produced by motor commands, as well properties of the musculoskeletal system. The aim of this study was to dissociate the coordination of motor commands from motor outputs. First, we conducted simulation experiments where the total elbow torque was generated by a model of a simple human right and left elbow with redundant muscles. The results demonstrated that muscle tension with signal-dependent noise formed a coordinated structure of trial-to-trial variability of muscle tension. Therefore, the removal of signal-dependent noise effects was required to evaluate the coordination of motor commands. We proposed a method to evaluate the coordination of motor commands, which removed signal-dependent noise from the measured variability of muscle tension. We used uncontrolled manifold analysis to calculate a normalized index of synergy. Simulation experiments confirmed that the proposed method could appropriately represent the coordinated structure of the variability of motor commands. We also conducted experiments in which subjects performed the same task as in the simulation experiments. The normalized index of synergy revealed that the subjects coordinated their motor commands to achieve the task. Finally, the normalized index of synergy was applied to a motor learning task to determine the utility of the proposed method. We hypothesized that a large part of the change in the coordination of motor outputs through learning was because of changes in motor commands. In a motor learning task, subjects tracked a target trajectory of the total torque. The change in the coordination of muscle tension through learning was dominated by that of motor commands, which supported the hypothesis. We conclude that the normalized index of synergy can be used to evaluate the coordination of motor commands independently from the properties of the musculoskeletal system.
机译:人类通过协调人体中多余的运动元素来执行各种运动任务。电机输出的协调是由电机命令以及肌肉骨骼系统的属性产生的。这项研究的目的是从马达输出中分离出马达指令的协调性。首先,我们进行了模拟实验,其中总肘弯力矩是通过简单的左右手肘和多余肌肉的模型生成的。结果表明,具有信号依赖性噪声的肌肉张力形成了肌肉张力的试验到试验变异性的协调结构。因此,需要消除与信号有关的噪声影响,以评估电动机命令的协调性。我们提出了一种评估运动命令协调性的方法,该方法从所测量的肌肉张力变异性中消除了与信号相关的噪声。我们使用不受控制的歧管分析来计算标准化的协同指数。仿真实验证明,该方法可以恰当地表示电机指令的可变性的协调结构。我们还进行了实验,其中受试者执行与模拟实验相同的任务。归一化的协同指数表明,受试者协调他们的运动命令以完成任务。最后,将标准化的协同指数应用于运动学习任务,以确定所提出方法的实用性。我们假设通过学习在运动输出的协调方面的很大一部分变化是由于运动命令的变化。在运动学习任务中,受试者跟踪了总扭矩的目标轨迹。通过学习,肌肉张力的协调性变化主要由运动命令所控制,这支持了这一假设。我们得出结论,归一化的协同指标可用于独立于肌肉骨骼系统的属性来评估运动命令的协调性。

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    Shunta Togo; Hiroshi Imamizu;

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  • 年(卷),期 -1(10),10
  • 年度 -1
  • 页码 e0140836
  • 总页数 23
  • 原文格式 PDF
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