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
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