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Building the computational virtual reality environment for anaesthetists' training and practice

He, Jing, Zarei, Roozbeh, Cao, Jie, Taraporewalla, Kersi, Steyn, Michelle, Van Zundert, Andre, Huang, Guangyan, Zhang, Haolan and Chi, Chi-Hung 2015, Building the computational virtual reality environment for anaesthetists' training and practice, in SCC 2015: Proceedings of the 12th International Conference on Services Computing, IEEE, Piscataway, N.J., pp. 242-248, doi: 10.1109/SCC.2015.41.

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Title Building the computational virtual reality environment for anaesthetists' training and practice
Author(s) He, Jing
Zarei, Roozbeh
Cao, Jie
Taraporewalla, Kersi
Steyn, Michelle
Van Zundert, Andre
Huang, GuangyanORCID iD for Huang, Guangyan orcid.org/0000-0002-1821-8644
Zhang, Haolan
Chi, Chi-Hung
Conference name International Conference on Services Computing (12th : 2015 : New York, New York)
Conference location New York, New York
Conference dates 27 Jun. - 2 Jul. 2015
Title of proceedings SCC 2015: Proceedings of the 12th International Conference on Services Computing
Editor(s) Maglio, Paul
Paik, Incheon
Chou, Wu
Publication date 2015
Start page 242
End page 248
Total pages 7
Publisher IEEE
Place of publication Piscataway, N.J.
Keyword(s) Computational Virtual Reality
Critical Event Training
Anesthetic Simulator
Five dimensional
ECG Online Prediction
Summary Understanding the real world based on visualisation and prediction is essential for the decision-maker. We build a computational virtual reality environment to improve visualisation, understanding and prediction of the physical world and to guide action. It develops a five-dimensional, computer-generated, computational Virtual Reality Environment for Anaesthesia (VREA). Our online prediction will be calculated based on the correlation and composition computing with respect to the three dimensions: horizontal, vertical and individual. The novel musical notes based anesthetic simulator is proposed to identify the abnormality and visualize the online medical time series. The experiments with the online ECG data will present a real-time case to show the effectiveness and efficiency of our proposed system and algorithms.
ISBN 9781467372817
Language eng
DOI 10.1109/SCC.2015.41
Field of Research 080109 Pattern Recognition and Data Mining
Socio Economic Objective 810105 Intelligence
HERDC Research category E1 Full written paper - refereed
ERA Research output type E Conference publication
Copyright notice ©2015, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30081416

Document type: Conference Paper
Collection: School of Information Technology
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