DocumentCode :
3650254
Title :
Kirlian images based early detection of diabetics using neural network
Author :
B. Shanmuga Priya;R. Rajesh
Author_Institution :
Department of Computer Science, CMS College of Arts and Commerce, Coimbatore, India
fYear :
2013
fDate :
3/1/2013 12:00:00 AM
Firstpage :
147
Lastpage :
150
Abstract :
As a lot of information about our body and health can be obtained from a few drops of blood, Kirlian images which are recorded on photographic emulsion using GDV instruments developed in 1996 by Prof. Konstantin Korotkov from St. Petersburg Tech University has the potential to show all the health related issues of our body. This paper deals with the early detection of diabetics using the features obtained from Kirlian images. The results using neural network classifier are promising.
Keywords :
"Discharges (electric)","Diabetes","Visualization","Thumb","Biomedical imaging","Energy measurement"
Publisher :
ieee
Conference_Titel :
Orange Technologies (ICOT), 2013 International Conference on
Print_ISBN :
978-1-4673-5934-4
Type :
conf
DOI :
10.1109/ICOT.2013.6521179
Filename :
6521179
Link To Document :
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