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
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

557-565

Subventions

Organisme : NICHD NIH HHS
ID : R01 HD091179
Pays : United States

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Auteurs

Xiao Xiao (X)

George Washington University.

Shang Zhao (S)

George Washington University.

Yan Meng (Y)

George Washington University.

Lamia Soghier (L)

National Children's Health Systems.

Xiaoke Zhang (X)

George Washington University.

James Hahn (J)

George Washington University.

Classifications MeSH