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MED1stMR

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Medical First Responder Training using a Mixed Reality Approach featuring haptic...

Medical First Responder Training using a Mixed Reality Approach featuring haptic feedback for enhanced realism 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 stabili... ver más

31/05/2024

AIT

8M€

Presupuesto del proyecto: 8M€

Líder del proyecto

AIT AUSTRIAN INSTITUTE OF TECHNOLOGY GMBH No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Fecha límite participación Sin fecha límite de participación.

Ver 21 Participantes

Financiación concedida El organismo H2020 notifico la concesión del proyecto el día 2024-05-31

SU-DRS02-2018-2019-2020: Technologies for first responders

I+D

Cerrada hace 6 años

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Información adicional privada

No hay información privada compartida para este proyecto. Habla con el coordinador.

21 Participantes

AIT

908.42K€ | Lider

SERMAS

308.13K€ | Participante

IDENER RESEARCH & DEVELOPMEN...

400.00K€ | Participante

UMEA UNIVERSITET

529.38K€ | Participante

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Duración del proyecto: 37 meses Fecha Inicio: 2021-04-29
Fecha Fin: 2024-05-31

Líder del proyecto

AIT AUSTRIAN INSTITUTE OF TECHNOLOGY GMBH No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 8M€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto 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

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