Literature DB >> 19203823

Virtual reality enhanced mannequin (VREM) that is well received by resuscitation experts.

Federico Semeraro1, Antonio Frisoli, Massimo Bergamasco, Erga L Cerchiari.   

Abstract

UNLABELLED: The objective of this study was to test acceptance of, and interest in, a newly developed prototype of virtual reality enhanced mannequin (VREM) on a sample of congress attendees who volunteered to participate in the evaluation session and to respond to a specifically designed questionnaire.
METHODS: A commercial Laerdal HeartSim 4000 mannequin was developed to integrate virtual reality (VR) technologies with specially developed virtual reality software to increase the immersive perception of emergency scenarios. To evaluate the acceptance of a virtual reality enhanced mannequin (VREM), we presented it to a sample of 39 possible users. Each evaluation session involved one trainee and two instructors with a standardized procedure and scenario: the operator was invited by the instructor to wear the data-gloves and the head mounted display and was briefly introduced to the scope of the simulation. The instructor helped the operator familiarize himself with the environment. After the patient's collapse, the operator was asked to check the patient's clinical conditions and start CPR. Finally, the patient started to recover signs of circulation and the evaluation session was concluded. Each participant was then asked to respond to a questionnaire designed to explore the trainee's perception in the areas of user-friendliness, realism, and interaction/immersion.
RESULTS: Overall, the evaluation of the system was very positive, as was the feeling of immersion and realism of the environment and simulation. Overall, 84.6% of the participants judged the virtual reality experience as interesting and believed that its development could be very useful for healthcare training.
CONCLUSIONS: The prototype of the virtual reality enhanced mannequin was well-liked, without interfence by interaction devices, and deserves full technological development and validation in emergency medical training.

Entities:  

Mesh:

Year:  2009        PMID: 19203823     DOI: 10.1016/j.resuscitation.2008.12.016

Source DB:  PubMed          Journal:  Resuscitation        ISSN: 0300-9572            Impact factor:   5.262


  14 in total

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7.  Optimal Combination of Chest Compression Depth and Rate in Virtual Reality Resuscitation Training: A Post Hoc Analysis of the Randomized Lowlands Saves Lives Trial.

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Journal:  Trials       Date:  2021-12-20       Impact factor: 2.279

Review 9.  Simulation in Neurocritical Care: Past, Present, and Future.

Authors:  Nicholas A Morris; Barry M Czeisler; Aarti Sarwal
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Authors:  Hans Martin Bosse; Alice Martin; Kerstin Ling; Suzan Memili; Silvan Patalong; Veronika Rings; Elisabeth Dorothea Jasper; Katharina Luczak; Svenja Liesenjohann; Alix Witsch; Carolin Wengel
Journal:  BMC Res Notes       Date:  2015-10-09
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