Motor unit profile: A new way to describe the scanning-EMG potential
Motor unit profile: A new way to describe the scanning-EMG potential
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DOI：
10.1016/j.bspc.2016.12.020
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发表时间：
2017-04-01
影响因子：
5.1
通讯作者：
Navallas, Javier
中科院分区：
文献类型：
--
作者：
Corera, Inigo;Malanda, Armando;Navallas, Javier
运动单位轮廓是一种表征运动单位电位的新方法，它是对扫描肌电信号正转和负转轨迹的表征。这种表征允许量化扫描EMG信号的复杂性，其与运动单元的解剖学和生理学密切相关。为了提取运动单元轮廓，已经开发了一种算法，该算法检测扫描EMG信号的转弯并使用点跟踪技术将它们联系起来。该算法的性能是敏感的三个参数：转弯检测阈值，最大跟踪间隔阈值，和轨迹清除阈值。真实的扫描EMG信号已被用于分析算法的行为和算法参数的影响，并确定哪些参数值提供最佳性能。(C)2017作者由Elsevier Ltd.发布。这是CC BY-NC-ND许可下的开放获取文章。
The motor unit profile, a representation of the trajectories of positive and negative turns of a scanningEMG signal, is a new way to characterize the motor unit potential. Such characterization allows quantification of the scanning-EMG signal's complexity, which is closely related to the anatomy and physiology of the motor unit. To extract the motor unit profile, an algorithm that detects the turns of the scanning-EMG signal and links them using point-tracking techniques has been developed. The performance of this algorithm is sensitive to three parameters: the turn detection threshold, the maximum tracking interval threshold, and the trajectory purge threshold. Real scanning-EMG signals have been used to analyze the algorithm's behavior and the influence of the algorithm's parameters and to determine which parameter values provide the best performance. (C) 2017 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license.