DocumentCode :
3267928
Title :
The artificial neural network based system for validation of thermocouples used in biomedicine
Author :
Tanikic, Dejan ; Despotovic, Vladimir ; Denadic, Dalibor ; Milivojevic, Dragan ; Manic, Milos
Author_Institution :
Tech. Fac. of Bor, Univ. of Belgrade, Bor, Serbia
fYear :
2013
fDate :
1-3 Nov. 2013
Firstpage :
172
Lastpage :
175
Abstract :
Machining operations are widely used in the orthopedic surgery. The temperature which occurs in the cutting zone, during the machining of the bones, may have many negative consequences in the postoperative period. Therefore, the measuring and the modeling of this parameter is a very important task. In this paper, the thermocouples are presented as a potential tool for the temperature measuring. The paper also deals with the system for validation of the thermocouples. The artificial neural network is used for modeling of the relationship between the electromotive force (as the thermocouple output) and the corresponding temperature. It is shown that the results of the modeling are in good correlation with the measured data.
Keywords :
biomedical equipment; biomedical measurement; biothermics; machining; medical computing; neural nets; orthopaedics; surgery; temperature measurement; thermocouples; artificial neural network based system; biomedicine; bone machining; cutting zone; electromotive force; machining operations; orthopedic surgery; parameter modeling; postoperative period; temperature measurement; thermocouple output; thermocouple validation; Artificial neural networks; Bones; Drilling machines; Neurons; Pollution measurement; Temperature measurement; Temperature sensors; artificial neural networks; biomedicine; thermocouples;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Environment and Electrical Engineering (EEEIC), 2013 13th International Conference on
Conference_Location :
Wroclaw
Print_ISBN :
978-1-4799-2802-6
Type :
conf
DOI :
10.1109/EEEIC-2.2013.6737902
Filename :
6737902
Link To Document :
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