Objetivo Hand loss is a highly disabling event that markedly affects the quality of life. To achieve a close to natural replacement for the lost hand, the user should be provided with the rich sensations that are naturally perceive when grasping or manipulating an object. Ideal bidirectional hand prostheses should involve both a reliable decoding of the user’s intentions and the delivery of nearly “natural” sensory feedback through remnant afferent pathways, simultaneously and in real time. As such, much effort in the last decade has been directed towards the achievement of both the robust performance necessary for natural prosthesis control and the sensory feedback integration. Despite this however, researchers have struggled so far to translate their findings to clinical and commercial applications, as it is necessary first to develop robust multifunctional myoelectric control algorithms and to characterize the neurophysiological responses elicited by artificial sensory feedback. The first aim of BIREHAB is to characterize the cortical activity evoked by neuromorphic electrical stimulations of the median and ulnar nerve in amputees and compare it with healthy subjects’s undergoing the same protocl. The second aim is to develop a new blind source separation algorithm (Independent Component Analysis) for the robust extraction of muscle synergies and Motor Unit Action Potentials from high density surface electromyogram. ICA will also be useful to overcome the current issues that impair the efficacy of myoelectric prostheses control, such as electrodes cross talk and volume conduction. The implementation of BIREHAB has the potential to aid in the personalization of post-stroke rehabilitation protocols, and to improve the long term efficacy, quality and neural integration of hand prostheses. These results may enable, in the near future, near-natural replacement of missing hands and will help devise new upper limb rehabilitation strategies. Ámbito científico natural sciencescomputer and information sciencesdata sciencemedical and health sciencesclinical medicinephysiotherapyengineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsignal processingengineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringroboticsautonomous robotsdronesmedical and health sciencesmedical biotechnologyimplants Programa(s) H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions Main Programme H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility Tema(s) MSCA-IF-2016 - Individual Fellowships Convocatoria de propuestas H2020-MSCA-IF-2016 Consulte otros proyectos de esta convocatoria Régimen de financiación MSCA-IF-EF-ST - Standard EF Coordinador ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE Aportación neta de la UEn € 175 419,60 Dirección BATIMENT CE 3316 STATION 1 1015 Lausanne Suiza Ver en el mapa Región Schweiz/Suisse/Svizzera Région lémanique Vaud Tipo de actividad Higher or Secondary Education Establishments Enlaces Contactar con la organización Opens in new window Sitio web Opens in new window Participación en los programas de I+D de la UE Opens in new window Red de colaboración de HORIZON Opens in new window Coste total € 175 419,60
