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

D. Tanikić, V. Despotović, Dalibor Denadic, D. Milivojevic, M. Manic
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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.
基于人工神经网络的生物医学热电偶验证系统
机械加工在骨科手术中应用广泛。在骨骼加工过程中,切割区域的温度可能会在术后产生许多负面影响。因此,该参数的测量和建模是一项非常重要的任务。本文介绍了热电偶作为一种潜在的温度测量工具。本文还讨论了热电偶的验证系统。利用人工神经网络对电动势(作为热电偶输出)与相应温度之间的关系进行建模。结果表明,模型计算结果与实测数据具有较好的相关性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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