Virtual out-of-body experience as a potential therapeutic tool after kidney transplantation

Péter Csibri, Róbert Pantea, Attila Tanács, Alexandra Kiss, G. Sáry

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The last wave of commercially available virtual reality (VR) devices opened ways to more immersive medical applications. We present a virtual reality system that exploits the virtual out-of-body experience to assist the acknowledgment of the transplanted body organ. We give an overview of the physiological background and set goals towards the VR system. An implementation using Oculus Rift hardware is presented. We describe the applied physiological evaluation process for kidney transplantation. The studies are currently still ongoing.

Original languageEnglish
Title of host publicationAugmented Reality, Virtual Reality, and Computer Graphics - 4th International Conference, AVR 2017, Proceedings
PublisherSpringer Verlag
Pages202-210
Number of pages9
ISBN (Print)9783319609270
DOIs
Publication statusPublished - Jan 1 2017
Event15th International Conference on Practical Applications of Agents and Multi-Agent Systems, PAAMS 2017 - Porto, Portugal
Duration: Jun 21 2017Jun 23 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10325 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other15th International Conference on Practical Applications of Agents and Multi-Agent Systems, PAAMS 2017
CountryPortugal
CityPorto
Period6/21/176/23/17

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Keywords

  • Medical VR
  • Transplant adoption
  • Virtual out-of-body experience

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Csibri, P., Pantea, R., Tanács, A., Kiss, A., & Sáry, G. (2017). Virtual out-of-body experience as a potential therapeutic tool after kidney transplantation. In Augmented Reality, Virtual Reality, and Computer Graphics - 4th International Conference, AVR 2017, Proceedings (pp. 202-210). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10325 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-60928-7_17