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