Journal of Medical Systems

, Volume 29, Issue 6, pp 679–708 | Cite as

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

  • Göknur Güler
  • Fırat Hardalaç
  • Aysel Arıcıoğlu


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%.


electric field prediction performance artificial neural network (ANN) 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Barriviera, M. L., Louro, S. R. W., Wajnberg, E., and Hasson-Voloch, A., Denervation alters protein-lipid interactions in membrane fractions from electrocytes of Electrophorus electrius (L.). Biophys. Chem. 91:93–104, 2001.CrossRefPubMedGoogle Scholar
  2. 2.
    Benov, L. C., Antonov, P. A., and Ribarov, S. R., Oxidative damage the membrane lipids after electroporation. Gen. Physiol. Biophys. 13:85–97, 1994.PubMedGoogle Scholar
  3. 3.
    Güler, G., Seyhan Atalay, N., Özoğul, C., and Erdoğan, D., Biochemical and structural approach to collagen synthesis under electric fields. Gen. Physiol. Biophys. 15:429–440, 1996.PubMedGoogle Scholar
  4. 4.
    Irmak, M. K., Fadillioğlu, E., Güleç, M., Erdoğan, H., Yağmurcu, M., and Akyol, Ö., Effects of electromagnetic radiation from a cellular telephone on the oxidant and antioxidant levels in rabbits. Cell Biochem. Funct. 20:1–5, 2002.CrossRefPubMedGoogle Scholar
  5. 5.
    Wright, I. A., and Gough, N. A. J., Artificial neural network analysis of common femoral artery Doppler shift signals: Classification of proximal disease. Ultrasound Med. Biol. 24:735, 1999.CrossRefGoogle Scholar
  6. 6.
    Beale, R., and Jackson, T., Neural Computing: An Introduction, Institute of Physics Publishing, Bristol, UK, 1990.Google Scholar
  7. 7.
    Fredric, M. H., and Inica, K., Principles of Neurocomputing for Science and Engineering, McGraw-Hill, New York, 2001.Google Scholar
  8. 8.
    McClelland, J. L., and Rumelhart, D. E., Explorations in Parallel Distributed Processing: A Handbook of Models, Programs and Exercises, Cambridge, 1986.Google Scholar
  9. 9.
    Ebeigbe, A. B., Gantzos, R. D., and Webb, R. C., Relaxation of rat tail artery to electrical stimulation. Life Sci. 33:303–309, 1983.Google Scholar
  10. 10.
    Lamb, F. S., and Webb, R. C., Vascular effects of free radicals generated by electrical stimulation. Am. J. Physiol. 247:H709–H714, 1984.PubMedGoogle Scholar
  11. 11.
    Sanguinetti, C. M., Oxidant/antioxidant imbalance: Role in the pathogenesis of COPD. Respiration 59:20–23, 1992.PubMedGoogle Scholar
  12. 12.
    Gutteridge, J. M. C., Lipid peroxidation and antioxidants as biomarkers of tissue damage. Clin. Chem. 41:1819–1828, 1995.PubMedGoogle Scholar
  13. 13.
    Maccall, J. M., Braughler, J. M. and Hall, E. D., Lipid peroxidation and the role of oxygen radicals in CNS injury. Acta. Anaesthesiologica Belgica 38:373–379, 1987.PubMedGoogle Scholar
  14. 14.
    Wasowics, W., Neve, S., and Peretz, A., Optimized steps in fluorometric determination of thiobarbituric acid reactive substances in serum: importance of extraction pH and influence of sample preservation and storage. Clin. Chem. 39:2522–2526, 1993.PubMedGoogle Scholar
  15. 15.
    Desideri, A., Falconi, M., Polticelli, F., Bolognesi, M., Djnovic, K., and Rotilio, G., Evolutionary conservativeness of electric field in the Cu,Zn superoxide dismutase active site, Evidence for co-ordinated mutation of charged amino acid residues. J. Mol. Biol. 223:337–342, 1992.CrossRefPubMedGoogle Scholar
  16. 16.
    Osman, R., Effect of local environment and protein on the mechanism of action of superoxide dismutase. Enzyme 36:32–42, 1986.PubMedGoogle Scholar
  17. 17.
    Salo, D. C., Pacifici, R. E., Lin, S. W., Giulivi, C., and Davies, K. J. A., Superoxide dismutase undergoes proteolysis and fragmentation following oxidative modification and inactivation. J. Biol. Chem. 265:1919–1927, 1990.PubMedGoogle Scholar
  18. 18.
    Scaiano, J. C., Mohtat, N., Cozens, F. L., Mclean, J., and Thansandote, A., Application of the radical pair mechanism to free radicals in organized systems: Can the effects of 60 Hz br predicted from studies under static fields? Bioelectromagnetics 5:549–554, 1994.Google Scholar
  19. 19.
    Lowry, O. H., Rosebrough, N. I., Farr, A. L., and Randall, R. J., Protein measurement with the folin phenol reagent. J. Biol. Chem. 193:265–275, 1951.PubMedGoogle Scholar
  20. 20.
    Sun, Y., Oberley, L. W., and Li, Y., A simple method for clinical assay of superoxide dismutase. Clin. Chem. 34:497–500, 1988.PubMedGoogle Scholar
  21. 21.
    Cozen, F. L., and Scaiano, J. C., A compatative study of magnetic field effects on the dynamics of geminate and random radical pair processes in micelles. J. Am. Chem. Soc. 115:5204–5211, 1993.CrossRefGoogle Scholar
  22. 22.
    Romodanova, E. A., Paranich, A. V., and Chaikina, L. A., Effect of chronic effect of the electrostatic field on various biochemical indicators of tissues. Fiziol. Zh. 36:30–34, 1990.Google Scholar
  23. 23.
    Blank, M., Electromagnetic Fields, Biological Interactions and Mechanisms, Advances in Chemistry Series 250, Washington, 1995.Google Scholar
  24. 24.
    Margonato, V., Veicsteinas, A., Conti, R., Nicolini, P., and Cerretelli, P., Biologic effects of prolonged exposure to ELF electrmagnetic fields in rats I. 50 Hz electric fields. Bioelectromagnetics 14:479–493, 1993.PubMedGoogle Scholar
  25. 25.
    Marino, A. A., Berger, T. J., Mitchell, J. T., Duhacek, B. A., and Becker, R., Electric field effects in selected biologic systems. Ann. N. Y. Acad. Sci. 405:436–444, 1983.Google Scholar
  26. 26.
    Marino, A. A., Morris, D. M., and Arnold, T., Electrical treatment of lewis lung carcinoma in mice. J. Surg. Res. 41:198–201, 1986.CrossRefPubMedGoogle Scholar
  27. 27.
    Rodan, G., Bourret, L. A., and Norton, L. A., DNA synthesis in cartilage cells is stimulated by oscillating electric fields. Science 199:690–692, 1978.PubMedGoogle Scholar
  28. 28.
    Güler, G., and Seyhan Atalay, N., Functional enzymes of liver, total blood protein and albumin levels under electric fields, medical & biological engineering & computing. World Congress on Medical Physics and Biomedical Engineering, Suppl. 1, pp. 45, Nice, September 14–19, 1997.Google Scholar
  29. 29.
    Güler, G. and Seyhan Atalay, N., Changes in hydroxyproline levels in electric field tissue interaction. Indian J. Biochem. Bio. 33:531–533, 1996.Google Scholar
  30. 30.
    Güler, G. and Seyhan Atalay, N., The effect of vertical and horizontal electric fields on collagen synthesis, progress in biophysics & molecular biology, XIIth International Biophysics Congress, 65 Suppl.1, p. 215, Amsterdam, 11–16 August, 1996.Google Scholar

Copyright information

© Springer Science + Business Media, Inc. 2005

Authors and Affiliations

  • Göknur Güler
    • 1
  • Fırat Hardalaç
    • 2
  • Aysel Arıcıoğlu
    • 3
  1. 1.Department of BiophysicsGazi UniversityAnkaraTurkey
  2. 2.Department of BiomedicalGazi UniversityAnkaraTurkey
  3. 3.Department of BiochemistryGazi UniversityAnkaraTurkey

Personalised recommendations