A Physics-based Virtual Reality Simulation Framework for Neonatal Endotracheal Intubation.
Animation
Computer graphics
Computing methodologies
Graphics systems and interfaces
Haptic devices
Human computer interaction (HCI)
Human-centered computing
Interaction devices
Modeling and simulation
Physical simulation
Real-time simulation
Simulation types and techniques
Virtual reality
Journal
Proceedings. IEEE Conference on Virtual Reality and 3D User Interfaces
ISSN: 2642-5254
Titre abrégé: Proc IEEE Conf Virtual Real 3D User Interfaces
Pays: United States
ID NLM: 101766753
Informations de publication
Date de publication:
Mar 2020
Mar 2020
Historique:
entrez:
4
6
2020
pubmed:
4
6
2020
medline:
4
6
2020
Statut:
ppublish
Résumé
Neonatal endotracheal intubation (ETI) is a complex procedure. Low intubation success rates for pediatric residents indicate the current training regimen is inadequate for achieving positive patient out-comes. Computer-based training systems in this field have been limited due to the complex nature of simulating in real-time, the anatomical structures, soft tissue deformations and frequent tool interactions with large forces which occur during actual patient intubation. This paper addresses the issues of neonatal ETI training in an attempt to bridge the gap left by traditional training methods. We propose a fully interactive physics-based virtual reality (VR) simulation framework for neonatal ETI that converts the training of this medical procedure to a completely immersive virtual environment where both visual and physical realism were achieved. Our system embeds independent dynamics models and interaction devices in separate modules while allowing them to interact with each other within the same environment, which offers a flexible solution for multi-modal medical simulation scenarios. The virtual model was extracted from CT scans of a neonatal patient, which provides realistic anatomical structures and was parameterized to allow variations in a range of features that affect the level of difficulty. Moreover, with this manikin-free VR system, we can capture and visualize an even larger set of performance parameters in relation to the internal geometric change of the virtual model for real-time guidance and post-trial assessment. Lastly, validation study results from a group of neonatologists are presented demonstrating that VR is a promising platform to train medical professionals effectively for this procedure.
Identifiants
pubmed: 32490403
doi: 10.1109/vr46266.2020.1581028031480
pmc: PMC7266144
mid: NIHMS1589694
doi:
Types de publication
Journal Article
Langues
eng
Pagination
557-565Subventions
Organisme : NICHD NIH HHS
ID : R01 HD091179
Pays : United States
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