• DocumentCode
    1669403
  • Title

    Building the Computational Virtual Reality Environment for Anaesthetists´ Training and Practice

  • Author

    Jing He ; Zarei, Roozbeh ; Jie Cao ; Taraporewalla, Kersi ; Steyn, Michale ; van Zundert, Andre ; Guangyan Huang ; Haolan Zhang ; Chi-Hung Chi

  • Author_Institution
    Coll. of Eng. & Sci., Victoria Univ., Melbourne, VIC, Australia
  • fYear
    2015
  • Firstpage
    242
  • Lastpage
    248
  • Abstract
    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.
  • Keywords
    computer based training; decision making; operating systems (computers); virtual reality; VREA; anaesthetists practice; anaesthetists training; composition computing; computational virtual reality environment for anaesthesia; decision-maker; online ECG data; online medical time series; Biomedical monitoring; Computers; Data visualization; Electrocardiography; Heart beat; Robots; Virtual reality; Anesthetic Simulator; Computational Virtual Reality; Critical Event Training; ECG Online Prediction; Five dimensional;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Services Computing (SCC), 2015 IEEE International Conference on
  • Conference_Location
    New York, NY
  • Print_ISBN
    978-1-4673-7280-0
  • Type

    conf

  • DOI
    10.1109/SCC.2015.41
  • Filename
    7207359