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

Project description

Mixed reality to train abilities for first medical support

The role of medical first responders (MFRs) in mass casualty incidents like natural disasters and attacks on public transportation is crucial today. The capabilities of MFRs are essential since they are first on the scene to provide life-saving assistance to victims. But there are critical training gaps that need to be filled. In this context, the EU-funded MED1stMR project will provide a new generation of mixed reality training by adapting haptic feedback and enabling mixed reality to prepare MFRs for disasters. It will provide flexibility for adapting to trainee needs manually or by applying AI-driven smart scenarios.

Objective

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

Fields of science (EuroSciVoc)

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Keywords

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Programme(s)

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Topic(s)

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Funding Scheme

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RIA - Research and Innovation action

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Call for proposal

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(opens in new window) H2020-SU-SEC-2018-2019-2020

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Coordinator

AIT AUSTRIAN INSTITUTE OF TECHNOLOGY GMBH
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 908 418,75
Address
GIEFINGGASSE 4
1210 WIEN
Austria

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Region
Ostösterreich Wien Wien
Activity type
Research Organisations
Links
Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 908 418,75

Participants (20)

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