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首页> 外文会议>2016 23rd Iranian Conference on Biomedical Engineering and 2016 1st International Iranian Conference on Biomedical Engineering >Exploring the effect of training on muscle synergies and kinematics of a task
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Exploring the effect of training on muscle synergies and kinematics of a task

机译：探索训练对一项任务的肌肉协同和运动学的影响

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In this preliminary study we aim to extract muscle synergies in spiral tracking task when performed with the non-dominant hand, and investigate the effect of training on muscle synergies. Three young subjects who were university students (all Females, 21±1 years old, right-handed) volunteered to participate in this study. The subjects were healthy with no history of neuromuscular disease. Each subject performed one of the three tasks chosen randomly in five sessions. The tasks were to track either a circle in a limited time, or a circular spiral or a square spiral. During the task, the trajectory of the pen and EMG signals from eight muscles of the non-dominant hand were simultaneously recorded. Afterwards, the EMG signals were factorized using the Non-Negative Matrix Factorization (NMF) method and synergy modules were extracted. While extracting muscle synergies using NMF, we used the Variance Accounted For (VAF) criteria in order to determine the optimized number of modules. Three synergy modules were determined as the optimum number for the primary EMG signals reconstruction. The P index was introduced to compare the changes in muscle synergies during the training. This index stands for the correlation between the muscle synergies of the trials of each session with the average of muscle synergies in the same session. The results show that mean square error between the desired and the actual trajectories, regardless of the type of training, has decreased for all three subjects. This indicates that the subjects have learned the task during the training sessions. This was incorporated as an index of participants' skill. Moreover, changes in the P index correspond noticeably with subjects tracking skill. In addition, this index can be adjusted during training and there have been noticeable changes in its value between the sessions. The results convey that central nervous system (CNS) adjusts muscle synergies defining given motor behaviors to the desired synergy space, which is the average of synergies, during the training.
机译：在此初步研究中，我们旨在提取用非优势手执行的螺旋跟踪任务中的肌肉协同作用，并研究训练对肌肉协同作用的影响。大学生的三名年轻受试者（均为女性，年龄21±1岁，右撇子）自愿参加了这项研究。受试者健康，无神经肌肉疾病史。每个受试者在五个环节中执行随机选择的三个任务之一。任务是在有限的时间内跟踪一个圆，或者跟踪一个圆形或方形螺旋。在任务期间，同时记录了笔的轨迹和来自非优势手的八块肌肉的EMG信号。然后，使用非负矩阵分解（NMF）方法对EMG信号进行分解，并提取协同模块。在使用NMF提取肌肉协同作用时，我们使用了差异方差（VAF）标准来确定模块的最佳数量。确定了三个协同模块作为主要EMG信号重建的最佳数量。引入P指数以比较训练期间肌肉协同作用的变化。该指数代表每节试验的肌肉协同作用与同一节肌肉平均协同作用之间的相关性。结果表明，不管训练的类型如何，期望轨迹与实际轨迹之间的均方误差对于所有三个对象均已减小。这表明受试者在培训期间已经学习了任务。这被纳入为参与者技能的指标。此外，P指数的变化明显与受试者的追踪技能相对应。此外，该指数可以在培训期间进行调整，并且在每次训练之间其价值都有明显的变化。结果表明，在训练过程中，中枢神经系统（CNS）调整了肌肉协同作用，将给定的运动行为定义为所需的协同作用空间，该空间是协同作用的平均值。

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