@inproceedings{173bcfaf792346cd83e1d52dcca1cb5f,
title = "A new design for airway management training with mixed reality and high fidelity modeling",
abstract = "Restoring airway function is a vital task in many medical scenarios. Although various simulation tools have been available for learning such skills, recent research indicated that fidelity in simulating airway management deserves further improvements. In this study, we designed and implemented a new prototype for practicing relevant tasks including laryngoscopy, intubation and cricothyrotomy. A large amount of anatomical details or landmarks were meticulously selected and reconstructed from medical scans, and 3D-printed or molded to the airway intervention model. This training model was augmented by virtually and physically presented interactive modules, which are interoperable with motion tracking and sensor data feedback. Implementation results showed that this design is a feasible approach to develop higher fidelity airway models that can be integrated with mixed reality interfaces.",
keywords = "Airway management, Cricothyrotomy, Endotracheal intubation, Medical modeling and simulation, Mixed reality",
author = "Yunhe Shen and David Hananel and Zichen Zhao and Daniel Burke and Crist Ballas and Jack Norfleet and Troy Reihsen and Robert Sweet",
note = "Publisher Copyright: {\textcopyright} 2016 The authors and IOS Press. All rights reserved. Copyright: Copyright 2019 Elsevier B.V., All rights reserved.; Medicine Meets Virtual Reality 22, NextMed/MMVR 2016 ; Conference date: 07-04-2016 Through 09-04-2016",
year = "2016",
doi = "10.3233/978-1-61499-625-5-359",
language = "English (US)",
series = "Studies in Health Technology and Informatics",
publisher = "IOS Press",
pages = "359--362",
editor = "Li Fellander-Tsai and Vosburgh, {Kirby G.} and Westwood, {James D.} and Steven Senger and Westwood, {Susan W.} and Fidopiastis, {Cali M.} and Alan Liu",
booktitle = "Medicine Meets Virtual Reality 22, NextMed/MMVR 22",
}