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用于产生离散和节律性运动的生理模块:肌电图信号的成分分析

Physiological modules for generating discrete and rhythmic movements: component analysis of EMG signals.

作者信息

Bengoetxea Ana, Leurs Françoise, Hoellinger Thomas, Cebolla Ana Maria, Dan Bernard, Cheron Guy, McIntyre Joseph

机构信息

Laboratoire de Neurophysiologie et Biomécanique du Mouvement, Faculté des Sciences de la Motricité, Université Libre de Bruxelles Brussels, Belgium ; Departamento de Fisiología, Laboratorio de Cinesiología y Motricidad, Facultad de Medicina y Odontología, Universidad del País Vasco-Euskal Herriko Unibertsitatea (UPV/EHU) Leioa, Spain.

Laboratoire de Neurophysiologie et Biomécanique du Mouvement, Faculté des Sciences de la Motricité, Université Libre de Bruxelles Brussels, Belgium.

出版信息

Front Comput Neurosci. 2015 Jan 9;8:169. doi: 10.3389/fncom.2014.00169. eCollection 2014.

Abstract

A central question in Neuroscience is that of how the nervous system generates the spatiotemporal commands needed to realize complex gestures, such as handwriting. A key postulate is that the central nervous system (CNS) builds up complex movements from a set of simpler motor primitives or control modules. In this study we examined the control modules underlying the generation of muscle activations when performing different types of movement: discrete, point-to-point movements in eight different directions and continuous figure-eight movements in both the normal, upright orientation and rotated 90°. To test for the effects of biomechanical constraints, movements were performed in the frontal-parallel or sagittal planes, corresponding to two different nominal flexion/abduction postures of the shoulder. In all cases we measured limb kinematics and surface electromyographic activity (EMG) signals for seven different muscles acting around the shoulder. We first performed principal component analysis (PCA) of the EMG signals on a movement-by-movement basis. We found a surprisingly consistent pattern of muscle groupings across movement types and movement planes, although we could detect systematic differences between the PCs derived from movements performed in each shoulder posture and between the principal components associated with the different orientations of the figure. Unexpectedly we found no systematic differences between the figure eights and the point-to-point movements. The first three principal components could be associated with a general co-contraction of all seven muscles plus two patterns of reciprocal activation. From these results, we surmise that both "discrete-rhythmic movements" such as the figure eight, and discrete point-to-point movement may be constructed from three different fundamental modules, one regulating the impedance of the limb over the time span of the movement and two others operating to generate movement, one aligned with the vertical and the other aligned with the horizontal.

摘要

神经科学中的一个核心问题是神经系统如何生成实现复杂手势(如书写)所需的时空指令。一个关键假设是中枢神经系统(CNS)从一组更简单的运动原语或控制模块构建复杂运动。在本研究中,我们研究了执行不同类型运动时肌肉激活产生背后的控制模块:八个不同方向的离散点对点运动,以及正常直立方向和旋转90°的连续8字形运动。为了测试生物力学约束的影响,在额状面或矢状面进行运动,分别对应肩部两种不同的名义屈伸/外展姿势。在所有情况下,我们测量了围绕肩部起作用的七块不同肌肉的肢体运动学和表面肌电图(EMG)信号。我们首先逐次运动地对EMG信号进行主成分分析(PCA)。我们发现,尽管我们可以检测到源自每个肩部姿势下执行的运动的主成分之间以及与数字不同方向相关的主成分之间的系统差异,但跨运动类型和运动平面的肌肉分组模式惊人地一致。出乎意料的是,我们发现8字形运动和点对点运动之间没有系统差异。前三个主成分可能与所有七块肌肉的一般共同收缩以及两种相互激活模式有关。从这些结果中,我们推测,无论是“离散节奏运动”(如8字形运动)还是离散点对点运动,都可能由三个不同的基本模块构建而成,一个在运动的时间跨度内调节肢体的阻抗,另外两个用于产生运动,一个与垂直方向对齐,另一个与水平方向对齐。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8d66/4288127/110223451c80/fncom-08-00169-g0001.jpg

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