DocumentCode :
2955157
Title :
On the use of Augmented Reality techniques in learning and interpretation of cardiologic data
Author :
Lamounier, Edgard, Jr. ; Bucioli, Arthur ; Cardoso, Alexandre ; Andrade, Adriano ; Soares, Alcimar
Author_Institution :
Virtual & Augmented Reality Res. Group, Fed. Univ. of Uberlandia, Uberlandia, Brazil
fYear :
2010
fDate :
Aug. 31 2010-Sept. 4 2010
Firstpage :
610
Lastpage :
613
Abstract :
Augmented Reality is a technology which provides people with more intuitive ways of interaction and visualization, close to those in real world. The amount of applications using Augmented Reality is growing every day, and results can be already seen in several fields such as Education, Training, Entertainment and Medicine. The system proposed in this article intends to provide a friendly and intuitive interface based on Augmented Reality for heart beating evaluation and visualization. Cardiologic data is loaded from several distinct sources: simple standards of heart beating frequencies (for example situations like running or sleeping), files of heart beating signals, scanned electrocardiographs and real time data acquisition of patient´s heart beating. All this data is processed to produce visualization within Augmented Reality environments. The results obtained in this research have shown that the developed system is able to simplify the understanding of concepts about heart beating and its functioning. Furthermore, the system can help health professionals in the task of retrieving, processing and converting data from all the sources handled by the system, with the support of an edition and visualization mode.
Keywords :
augmented reality; biomedical measurement; data visualisation; electrocardiography; medical computing; augmented reality techniques; cardiologic data interpretation; cardiologic data learning; data visualization; electrocardiographs; heart beat evaluation; heart beat frequencies; heart beat signals; heart beat visualization; patient heart beat real time data acquisition; Animation; Augmented reality; Cardiology; Data visualization; Electrocardiography; Heart; Algorithms; Computer Graphics; Computer Simulation; Diagnosis, Computer-Assisted; Electrocardiography; Humans; Models, Cardiovascular; Signal Processing, Computer-Assisted; User-Computer Interface;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE
Conference_Location :
Buenos Aires
ISSN :
1557-170X
Print_ISBN :
978-1-4244-4123-5
Type :
conf
DOI :
10.1109/IEMBS.2010.5628019
Filename :
5628019
Link To Document :
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