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

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 degrees. 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 (EMB) 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 sholder posture and between the principal components associated with the different orientations of the figure. Unexpectedly we found no systematic differences between the figute 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 activatoin. 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.

Optimización de la geometría de una etapa XY de nanoposicionamiento para la reducción del acoplamiento entre ejes

[ES]El Trabajo de Fin de Grado que se presenta tiene por objeto la contribución a un proyecto de investigación mediante el análisis y diseño de una mesa de posicionamiento basada en flexión para un mecanismo de nanoposicionamiento XY. Dicho proyecto se integra dentro de una línea de investigación promovida por la Universidad del País Vasco y el grupo empresarial EGILE CORPORATION XXI, especializado en la fabricación de componentes y mecanizados de alta precisión. Consiste en rediseñar la mesa de un mecanismo de nanoposicionamiento. Para ello se parte de un diseño actual y mediante la modificación de su geometría, se pretende obtener unas mejores prestaciones en cuanto a precisión, facilidad de predicción del comportamiento y amplitud del movimiento. Las tareas a llevar a cabo serán las siguientes: obtención de un modelo simplificado de la mesa, convirtiendo las juntas flexibles reales en juntas tradicionales con una cierta rigidez torsional; definición de la geometría en base a los requisitos fijados, tanto de amplitud como de precisión; y verificación del diseño elegido, mediante el cálculo por MEF del rango de movimiento y precisión del mismo, frecuencias naturales y relación entre la fuerza aplicada y el movimiento obtenido.

Spinal circuits can accommodate interaction torques during multijoint limb movements

The dynamic interaction of limb segments during movements that involve multiple joints creates torques in one joint due to motion about another. Evidence shows that such interaction torques are taken into account during the planning or control of movement in humans. Two alternative hypotheses could explain the compensation of these dynamic torques. One involves the use of internal models to centrally compute predicted interaction torques and their explicit compensation through anticipatory adjustment of descending motor commands. The alternative, based on the equilibrium-point hypothesis, claims that descending signals can be simple and related to the desired movement kinematics only, while spinal feedback mechanisms are responsible for the appropriate creation and coordination of dynamic muscle forces. Partial supporting evidence exists in each case. However, until now no model has explicitly shown, in the case of the second hypothesis, whether peripheral feedback is really sufficient on its own for coordinating the motion of several joints while at the same time accommodating intersegmental interaction torques. Here we propose a minimal computational model to examine this question. Using a biomechanics simulation of a two-joint arm controlled by spinal neural circuitry, we show for the first time that it is indeed possible for the neuromusculoskeletal system to transform simple descending control signals into muscle activation patterns that accommodate interaction forces depending on their direction and magnitude. This is achieved without the aid of any central predictive signal. Even though the model makes various simplifications and abstractions compared to the complexities involved in the control of human arm movements, the finding lends plausibility to the hypothesis that some multijoint movements can in principle be controlled even in the absence of internal models of intersegmental dynamics or learned compensatory motor signals.