• DocumentCode
    2350056
  • Title

    Epione: An Innovative Pain Management System Using Facial Expression Analysis, Biofeedback and Augmented Reality-Based Distraction

  • Author

    Georgoulis, S. ; Eleftheriadis, S. ; Tzionas, D. ; Vrenas, K. ; Petrantonakis, P. ; Hadjileontiadis, L.J.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Aristotle Univ. of Thessaloniki, Thessaloniki, Greece
  • fYear
    2010
  • fDate
    24-26 Nov. 2010
  • Firstpage
    259
  • Lastpage
    266
  • Abstract
    An innovative pain management system, namely Epione, is presented here. Epione deals with three main types of pain, i.e., acute pain, chronic pain, and phantom limb pain. In particular, by using facial expression analysis, Epione forms a dynamic pain meter, which then triggers biofeedback and augmented reality-based destruction scenarios, in an effort to maximize patient´s pain relief. This unique combination sets Epione not only a novel pain management approach, but also a means that provides an understanding and integration of the needs of the whole community involved i.e., patients and physicians, in a joint attempt to facilitate easing of their suffering, provide efficient monitoring and contribute to a better quality of life.
  • Keywords
    augmented reality; face recognition; medical computing; patient care; Epione; augmented reality based distraction; biofeedback; dynamic pain meter; facial expression analysis; innovative pain management system; patients pain relief maximization; Epione; augmented reality-based distraction; biofeedback; facial expression analysis; pain management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Networking and Collaborative Systems (INCOS), 2010 2nd International Conference on
  • Conference_Location
    Thessaloniki
  • Print_ISBN
    978-1-4244-8828-5
  • Electronic_ISBN
    978-1-4244-4278-2
  • Type

    conf

  • DOI
    10.1109/INCOS.2010.72
  • Filename
    5702104