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Rehabilitation based on Hybrid neuroprosthesis

Project description

DEENESFRITPL

New technology for robot-assisted physical therapy

Compared with manual repetitive therapy, the use of robotic technologies can deliver intensive, long-term rehabilitation treatments at lower costs. In particular, combining electrical stimulation for human motor functions with an active exoskeleton is gaining ground in rehabilitation of patients with mobility impairment. The EU-funded ReHyb project will develop a patient-specific, assist-as-needed device that supports patients in daily life activities and offers home-based rehabilitation by means of serious gaming. To offer effective support and pleasant user experience, ReHyb will design 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.

Objective

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.

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Topic(s)

Call for proposal

H2020-ICT-2018-20

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Sub call

H2020-ICT-2019-2

Funding Scheme

RIA - Research and Innovation action

Coordinator

TECHNISCHE UNIVERSITAET MUENCHEN
Net EU contribution
€ 1 054 250,00
Address
Arcisstrasse 21
80333 Muenchen
Germany

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Region
Bayern Oberbayern München, Kreisfreie Stadt
Activity type
Higher or Secondary Education Establishments
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Total cost
€ 1 054 250,00

Participants (12)

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Last update: 22 April 2024

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Permalink: https://cordis.europa.eu/project/id/871767

European Union, 2024