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Examination of Electric Field Effects on Tissues by Using Back Propagation Neural Network

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An Erratum to this article was published on 06 August 2008

Abstract

The aim of this study is to determine lipid peroxidation and antioxidant enzyme levels in spleen and testis tissues of guinea pigs which were exposed to different intensities and periods of DC (direct current) and AC (alternating current) electric fields. The experimental results are applied to neural networks as learning data and the training of the feed forward neural network is realized. At the end of this training; without applying electric field to the tissues, the determination of the effects of the electric field on tissues by using computer is predicted by the neural network. After the experiments, the prediction of the neural network is averagely 99%.

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Authors and Affiliations

  1. Department of Biophysics, Gazi University, Ankara, Turkey

    Göknur Güler

  2. Department of Biomedical, Gazi University, Ankara, Turkey

    Fırat Hardalaç

  3. Department of Biochemistry, Gazi University, Ankara, Turkey

    Aysel Arıcıoğlu

Authors
  1. Göknur Güler
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  2. Fırat Hardalaç
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  3. Aysel Arıcıoğlu
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Corresponding author

Correspondence to Fırat Hardalaç.

Additional information

An erratum to this article is available at http://dx.doi.org/10.1007/s10916-008-9189-x.

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Güler, G., Hardalaç, F. & Arıcıoğlu, A. Examination of Electric Field Effects on Tissues by Using Back Propagation Neural Network. J Med Syst 29, 679–708 (2005). https://doi.org/10.1007/s10916-005-6356-1

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