Augmented Reality Application to Enhance Training of Lumbar Puncture Procedure: Preliminary Results

8 pages•Published: September 26, 2019

Nikolay Sargsyan, Robertson Bassy, Xin Wei, Sathish Akula, Jueting Liu, Cheryl Seals and Jeremy White

Abstract

With the recent rapid development of Augmented Reality (AR) headsets, new possi- bilities emerge for applications of AR technologies. Today, publicly available AR headsets provide novel storytelling platforms, expand the vision of doctors and engineers, remove boundaries of educational processes and assist humanity in multiple endeavors.
Our research encompasses various levels of the learning process by examining design principals and developing reliable software for multiple educational applications. This paper focuses on the software development process for an AR program that teaches the medical procedure known as the Lumbar Puncture. Our team utilized the Meta 2 headset by Metavision to create a software application to enhance the student experience and extend training effectiveness. We will discuss the requirements and specification for the future application, describe the development process and issues encountered for the current version of the application, as well as present preliminary results of testing and evaluation.

Keyphrases: augmented reality, lumbar puncture, medical education

In: Quan Yuan, Yan Shi, Les Miller, Gordon Lee, Gongzhu Hu and Takaaki Goto (editors). Proceedings of 32nd International Conference on Computer Applications in Industry and Engineering, vol 63, pages 189-196.

Links:	https://easychair.org/publications/paper/3dm5
	https://doi.org/10.29007/cthk

BibTeX entry

@inproceedings{CAINE2019:Augmented_Reality_Application_Enhance,
  author    = {Nikolay Sargsyan and Robertson Bassy and Xin Wei and Sathish Akula and Jueting Liu and Cheryl Seals and Jeremy White},
  title     = {Augmented Reality Application to Enhance Training of Lumbar Puncture Procedure: Preliminary Results},
  booktitle = {Proceedings of 32nd International Conference on Computer Applications in Industry and Engineering},
  editor    = {Quan Yuan and Yan Shi and Les Miller and Gordon Lee and Gongzhu Hu and Takaaki Goto},
  series    = {EPiC Series in Computing},
  volume    = {63},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2398-7340},
  url       = {/publications/paper/3dm5},
  doi       = {10.29007/cthk},
  pages     = {189-196},
  year      = {2019}}

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