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In this paper, we present a control method of robotic system using electromyography (EMG) signals collected by surface EMG electrodes. The EMG signals are analyzed using a neuromusculoskeletal (NMS) model that represents at the same time the muscle and the skeleton of the body. It has the advantage of adding external forces to the model without changing the initial parameters which is particularly...
Muscles convert metabolic energy into mechanical work. A computational model of muscle would ideally compute both effects efficiently for the entire range of muscle activation and kinematic conditions (force and length). We have extended the original Virtual Muscle algorithm (Cheng <etal/>, 2000) to predict energy consumption for both slow- and fast-twitch muscle fiber types, partitioned according...
Co-contraction of antagonistic muscles may yield a stable joint movement, force regulation and an increasing joint stiffness. In biomechanics, the force-sharing problem is often solved through minimization of an energetic criterion under given constraints. This criterion has been used in this paper to compute the necessary stimulation parameters as provided by a functional electrical stimulator, during...
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