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Medical First Responder Training using a Mixed Reality Approach featuring haptic feedback for enhanced realism

Description du projet

Utiliser la réalité mixte pour améliorer la formation aux premiers secours médicaux

Le rôle des premiers secours médicaux (MFR pour medical first responders) dans les incidents impliquant un grand nombre de victimes, comme les catastrophes naturelles et les attaques contre les transports publics, est aujourd’hui crucial. Les capacités des MFR sont essentielles puisqu’ils sont les premiers sur les lieux à apporter une aide vitale aux victimes. Mais il existe des lacunes critiques en matière de formation qui doivent être comblées. Dans ce contexte, le projet MED1stMR, financé par l’UE, proposera une nouvelle génération de formation en réalité mixte en adaptant le retour haptique et en permettant à la réalité mixte de préparer les MFR aux catastrophes. Il offrira la flexibilité nécessaire pour s’adapter manuellement aux besoins des stagiaires ou en appliquant des scénarios intelligents pilotés par l’IA.

Objectif

Mass-casualty incidents with injured persons caused by human-made or by natural disasters are increasing globally. In such situations, medical first responders (MFR) need to perform basic life support and first aid to help stabilize victims until arrival of further support. Proper evaluation of situations, checking and monitoring the vital states, and choosing the most appropriate strategy for proceeding with treatments are challenges. However, current training abilities for such scenarios are limited.
The MED1stMR consortium has identified Mixed Reality (MR) training as opportunity to better train and prepare MFRs for disasters. Thus, MED1stMR will develop a new generation of MR training providing haptic feedback through the integration of high-fidelity patient simulation manikins into MR. Thereby, MED1stMR offers a much richer sensory experience bringing MR training closer to reality. To enhance the effectiveness of MR training a physiological signal and trainee behavior feedback loop will be integrated for scenario control. In this respect, wearable technologies with body sensors will be developed allowing to monitor states and behaviour of MFR during training. Together with a model for effective performance in medical emergencies (EPME) this data will enable adapting training to trainee needs, manually or by artificial intelligence driven smart scenarios. Partnering MFR will be included in the project developments by an Agile End User Centred Research Methodology.
To this end, MED1stMR will pursue the following pioneering objectives: a) Developing a pioneering MR training approach for enhanced realism, b) Developing effective training scenarios and a training curriculum through user-centred design with cross-sectoral MFR, c) Realisation of a physiological signal and trainee behaviour feedback loop and EPME model for smart scenario control thereby enhancing effectiveness of MR training and d) To position the pioneering MR training approach across Europe

Appel à propositions

H2020-SU-SEC-2018-2019-2020

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Sous appel

H2020-SU-SEC-2020

Coordinateur

AIT AUSTRIAN INSTITUTE OF TECHNOLOGY GMBH
Contribution nette de l'UE
€ 908 418,75
Adresse
GIEFINGGASSE 4
1210 Wien
Autriche

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Région
Ostösterreich Wien Wien
Type d’activité
Research Organisations
Liens
Coût total
€ 908 418,75

Participants (20)