Segmentation and Averaging of sEMG Muscle Activations Prior to Synergy Extraction
Segmentation and Averaging of sEMG Muscle Activations Prior to Synergy Extraction
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DOI：
10.1109/lra.2020.2975729
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发表时间：
2020-04-01
影响因子：
5.2
通讯作者：
Shimoda, Shingo
中科院分区：
文献类型：
--
作者：
Costa-Garcia, Alvaro;Ianez, Eduardo;Shimoda, Shingo
在肌肉协同计算之前平均肌电活动是一种常用的方法，用于补偿通常与这种生理记录相关的重复间变异性。获取肌肉协同效应需要保存准确的肌肉活动的时间和空间信息。肌电数据在同一任务的连续重复中的自然差异提出了几个相关的挑战，使求平均值成为一个不平凡的过程。肌肉活动的持续时间和触发时间通常在同一任务的不同重复中有所不同。因此，有必要定义一种稳健的方法来分割和平均肌肉活动，以处理这些问题。从这一需求出发，本工作提出了一种标准协议，用于准确地保留原始数据中包含的时间和空间信息，并能够分离出单个平均运动周期，用于分割和平均周期性运动中的肌肉激活。该协议已经用15名参与者的肌肉活动数据进行了验证，这些参与者进行了肘部屈曲/伸展运动，这是一系列由公认的肌肉协同作用驱动的动作。使用平均数据，计算肌肉协同效应，允许将他们的行为与先前与评估任务相关的结果进行比较。将所提出的方法与广泛使用的基于运动标记的方法进行比较，显示了我们的系统保持肌肉激活时间的一致性和协同效应的好处。
Averaging electromyographic activity prior to muscle synergy computation is a common method employed to compensate for the inter-repetition variability usually associated with this kind of physiological recording. Capturing muscle synergies requires the preservation of accurate temporal and spatial information for muscle activity. The natural variation in electromyography data across consecutive repetitions of the same task raises several related challenges that make averaging a non-trivial process. Duration and triggering times of muscle activity generally vary across different repetitions of the same task. Therefore, it is necessary to define a robust methodology to segment and average muscle activity that deals with these issues. Emerging from this need, the present work proposes a standard protocol for segmenting and averaging muscle activations from periodic motions in a way that accurately preserves the temporal and spatial information contained in the original data and enables the isolation of a single averaged motion period. This protocol has been validated with muscle activity data recorded from 15 participants performing elbow flexion/extension motions, a series of actions driven by well-established muscle synergies. Using the averaged data, muscle synergies were computed, permitting their behavior to be compared with previous results related to the evaluated task. The comparison between the method proposed and a widely used methodology based on motion flags, shown the benefits of our system maintaining the consistency of muscle activation timings and synergies.