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Rehabilitation based on Hybrid neuroprosthesis

Descrizione del progetto

Una nuova tecnologia per la fisioterapia assistita da robot

Paragonato alla terapia manuale ripetitiva, l’uso di tecnologie robotiche può fornire trattamenti riabilitativi intensivi e di lungo termine a costi inferiori. In particolare, la combinazione di stimoli elettrici per le funzioni motorie umane con un esoscheletro attivo sta guadagnando terreno nella riabilitazione di pazienti con deficit di mobilità. Il progetto ReHyb, finanziato dall’UE, svilupperà un supporto specifico per il paziente per l’assistenza quando necessaria che sostenga gli utenti nelle attività quotidiane e offra riabilitazioni a casa attraverso giochi seri. Per offrire un supporto efficace e un’esperienza utente piacevole, ReHyb progetterà una neuroprotesi ibrida per la parte superiore del corpo attraverso strategie di controllo cooperativo basate sull’identificazione del sistema fondata sui dati e tecniche di stima probabilistiche per gli stati umani interni, in particolare un gemello digitale dell’utente.

Obiettivo

Advancements in mechanical engineering and automation technologies have led to global expectations for robotic devices in rehabilitation to cope with a forecast of global ageing and shortage in clinical professionals in the near future. In particular, stroke patients often have to go through extensive rehabilitation or lose daily skills required for an independent self-determined life due to motor deficits. In contrast to classical physical therapists, robotic systems are able to tirelessly and precisely apply intense manual labour, while accurately measuring performance and improvements of the patient. Active exoskeletons meet these requirements and possess the additional advantage of non-stationary design that allows for flexible training and mobility of the patient. Preliminary studies indicate that the training efficiency can be improved if, in addition to the guidance by the exoskeleton, the users motor functions are actively controlled using functional electrical stimulation (FES). Such hybrid systems are advantageous because the users’ own muscular activity initialise the movements and are not passively guided through an external force. However, the required control which coordinates the active exoskeleton and stimulation for the human motor functions, especially in terms of dexterity skills necessary for activities of daily living, is more complex due to the unsolved questions on shared control and the missing models of the human motor function with respect to FES. Thus, the ReHyb project designs an upper-body hybrid neuroprosthesis using cooperative control strategies based on data-driven system identification and probabilistic estimation techniques for the internal human states, namely digital twin of a user. Our goal is a patient-specific, assist-as-needed device which maximises the training efficiency during home-based rehabilitation as means of serious gaming, and offers a pleasant user experience by supporting patients in daily life activities.

Invito a presentare proposte

H2020-ICT-2018-20

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Bando secondario

H2020-ICT-2019-2

Meccanismo di finanziamento

RIA - Research and Innovation action

Coordinatore

TECHNISCHE UNIVERSITAET MUENCHEN
Contribution nette de l'UE
€ 1 054 250,00
Indirizzo
Arcisstrasse 21
80333 Muenchen
Germania

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Regione
Bayern Oberbayern München, Kreisfreie Stadt
Tipo di attività
Higher or Secondary Education Establishments
Collegamenti
Costo totale
€ 1 054 250,00

Partecipanti (12)