Eduardo Palermo

TL;DR: In this paper, the authors proposed a new protocol integrating virtual reality with the Novint Falcon to evaluate motion performance during perturbed 3D reaching tasks, which consists of six 3D point-to-point reaching tasks performed using six opposing force fields.

TL;DR: In this article , the authors used machine learning to distinguish PD patients from controls, as well as patients under and not under dopaminergic therapy (i.e., ON and OFF states), based on kinematic measures recorded during dynamic posturography through portable sensors.

TL;DR: In this paper , the authors designed and metrologically characterised an innovative sensor based on smart fabrics to embed into upper limb wearable exoskeletons, which is composed of two piezoresistive units, which are made with a smart conductive fabric, and a mechanical structure, which was 3D-printed with PC/ABS filament, to be integrated in the exoskeleton.

TL;DR: In this paper, the authors presented a feasibility study to evaluate kinematics and muscle activation during a typical elite soccer team coaching session, where one professional soccer player under the S.S. Lazio was equipped with wireless Inertial Measurement Units and wireless electromyography modules.

TL;DR: From the results, it emerges a higher capability of the central nervous system in planning non-goal-directed movements than goal-directed ones, even if the smoothness and accuracy of the trajectory have not been altered by the different required task.