Literature DB >> 32490403

A Physics-based Virtual Reality Simulation Framework for Neonatal Endotracheal Intubation.

Xiao Xiao1, Shang Zhao1, Yan Meng1, Lamia Soghier2, Xiaoke Zhang1, James Hahn1.   

Abstract

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.

Entities:  

Keywords:  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

Year:  2020        PMID: 32490403      PMCID: PMC7266144          DOI: 10.1109/vr46266.2020.1581028031480

Source DB:  PubMed          Journal:  Proc IEEE Conf Virtual Real 3D User Interfaces


  21 in total

1.  Learning endotracheal intubation in a clinical skills learning center: a quantitative study.

Authors:  J L Plummer; H Owen
Journal:  Anesth Analg       Date:  2001-09       Impact factor: 5.108

2.  Effect of just-in-time simulation training on tracheal intubation procedure safety in the pediatric intensive care unit.

Authors:  Akira Nishisaki; Aaron J Donoghue; Shawn Colborn; Christine Watson; Andrew Meyer; Calvin A Brown; Mark A Helfaer; Ron M Walls; Vinay M Nadkarni
Journal:  Anesthesiology       Date:  2010-07       Impact factor: 7.892

3.  Comparison of four manikins and fresh frozen cadaver models for direct laryngoscopic orotracheal intubation training.

Authors:  J H Yang; Y-M Kim; H S Chung; J Cho; H-M Lee; G-H Kang; E-C Kim; T Lim; Y S Cho
Journal:  Emerg Med J       Date:  2010-01       Impact factor: 2.740

4.  Validation of a colonoscopy simulation model for skills assessment.

Authors:  Robert E Sedlack; Todd H Baron; Steven M Downing; Alan J Schwartz
Journal:  Am J Gastroenterol       Date:  2006-11-13       Impact factor: 10.864

5.  The feasibility of daily mannequin practice to improve intubation success.

Authors:  Jeffrey Lubin; Robert Carter
Journal:  Air Med J       Date:  2009 Jul-Aug

6.  Level of trainee and tracheal intubation outcomes.

Authors:  Ronald C Sanders; John S Giuliano; Janice E Sullivan; Calvin A Brown; Ron M Walls; Vinay Nadkarni; Akira Nishisaki
Journal:  Pediatrics       Date:  2013-02-11       Impact factor: 7.124

7.  Endotracheal Intubation in Neonates: A Prospective Study of Adverse Safety Events in 162 Infants.

Authors:  L Dupree Hatch; Peter H Grubb; Amanda S Lea; William F Walsh; Melinda H Markham; Gina M Whitney; James C Slaughter; Ann R Stark; E Wesley Ely
Journal:  J Pediatr       Date:  2015-11-02       Impact factor: 4.406

8.  Evaluation of performance, acceptance, and compliance of an auto-injector in healthy and rheumatoid arthritic subjects measured by a motion capture system.

Authors:  Xiao Xiao; Wei Li; Corbin Clawson; David Karvani; Perceval Sondag; James K Hahn
Journal:  Patient Prefer Adherence       Date:  2018-04-09       Impact factor: 2.711

9.  Virtual reality simulation of robotic transsphenoidal brain tumor resection: Evaluating dynamic motion scaling in a master-slave system.

Authors:  Saúl A Heredia-Pérez; Kanako Harada; Miguel A Padilla-Castañeda; Murilo Marques-Marinho; Jorge A Márquez-Flores; Mamoru Mitsuishi
Journal:  Int J Med Robot       Date:  2018-10-18       Impact factor: 2.547

10.  Soft tissue deformation for surgical simulation: a position-based dynamics approach.

Authors:  Mafalda Camara; Erik Mayer; Ara Darzi; Philip Pratt
Journal:  Int J Comput Assist Radiol Surg       Date:  2016-03-19       Impact factor: 2.924

View more
  2 in total

1.  Using virtual reality for difficult airway management planning.

Authors:  H A Iliff; I Ahmad; S Evans; J Ingham; G Rees; C Woodford
Journal:  Anaesth Rep       Date:  2022-07-05

2.  An Intelligent Augmented Reality Training Framework for Neonatal Endotracheal Intubation.

Authors:  Shang Zhao; Xiao Xiao; Qiyue Wang; Xiaoke Zhang; Wei Li; Lamia Soghier; James Hahn
Journal:  Int Symp Mix Augment Real       Date:  2020-12-14
  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.