The artificial neural network based system for validation of thermocouples used in biomedicine

Dejan Tanikić, Vladimir Despotović, Dalibor Denadic, Dragan Milivojević, Miodrag Manić

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publication2013 13th International Conference on Environment and Electrical Engineering, EEEIC 2013 - Conference Proceedings
Pages172-175
Number of pages4
DOIs
Publication statusPublished - 2013
Externally publishedYes
Event2013 13th International Conference on Environment and Electrical Engineering, EEEIC 2013 - Wroclaw, Poland
Duration: 1 Nov 20133 Nov 2013

Publication series

Name2013 13th International Conference on Environment and Electrical Engineering, EEEIC 2013 - Conference Proceedings

Conference

Conference2013 13th International Conference on Environment and Electrical Engineering, EEEIC 2013
Country/TerritoryPoland
CityWroclaw
Period1/11/133/11/13

Keywords

  • Artificial neural networks
  • Biomedicine
  • Thermocouples

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