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EU funding (€7,832,664): Medical First Responder Training using a Mixed Reality Approach featuring haptic feedback for enhanced realism Hor21 May 2021 EU Research and Innovation programme "Horizon"

Overview

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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 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


Funded Companies:

Company name Funding amount
AIT Austrian Institute OF Technology GmbH €908,419
Autonoom Provinciebedrijf Campus Vesta €312,103
D2D Holding B.V. €458,750
Elliniki Omada Diasosis Somateio €307,625
Fundacion para La Investigacion e Innovacion Biosanitaria de Atencion Primaria €0.00
Hochschule Furtwangen €18,750.00
Idener Research & Development AIE €400,000
Johanniter International €102,250
Johanniter Osterreich Ausbildung UND Forschung Gemeinnutzige GmbH €295,750
Mindconsole GmbH €298,125
Montanuniversitaet Leoben €137,759
Plux - Wireless Biosignals SA €470,000
Refense AG €1,000,759
Region Jamtland Harjedalen €305,625
Ruprecht-Karls-Universitaet Heidelberg €733,125
Servicio Madrileno de Salud €308,125
Simcampus Zentrum FUR Notfall Krisen UND Katastrophensimulation UND Katastrophendiplomatie GmbH €56,250
Umea Universitet €529,375
Universitaet Bern €436,125
Universitatsklinikum Heidelberg €399,375
Usecon GmbH €354,375

Source: https://cordis.europa.eu/project/id/101021775

The filing refers to a past date, and does not necessarily reflect the current state.