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Experimental Verification of EOG Signal Measurement Using the Modified Digital Stochastic Measurement Method

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CMBEBIH 2017

Part of the book series: IFMBE Proceedings ((IFMBE,volume 62))

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Abstract

Experimental verification of the simulation model for modified digital stochastic measurement (MDSM) of biomedical signals in the time domain, is presented in this paper. This method is based on well-known digital stochastic measurement method (DSMM) with low-resolution analog-to-digital converters (ADCs) and accumulation. An electrooculography (EOG) signal is used as an example of a real low nonstationary biomedical signal. Realized experimental model is based on a personal computer (PC) with additional microcontroller hardware for analogue signal processing. The experimental printed circuit board (PCB) has been designed with microcontroller (MCU) STM32F303C6T6. The experimental results are compared with the results of simulations, and the comparison confirms the simulation. Considering obtained results, the suggested model can be used for design and realization of an instrument with sufficient accuracy, benefiting from the hardware simplicity of the method.

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References

  1. Vujicic, V.V., Župunski, I., Mitrovic, Z. and Sokola, M.A.: ‘Measurement in a point versus measurement over an interval’, Proc. of the IMEKO XIX World Congress, Lisbon, Portugal, September 2009, No. 480, pp. 1128-1132.

    Google Scholar 

  2. Vujičić, V., Milovančev, S., Pešaljević, M., Pejić, D. and Župunski, I.: ‘Low frequency stochastic true RMS instrument’, IEEE Trans. Instrum. & Measurement, 1999, 48, (2), pp. 467–470, doi: 10.1109/19.769630

    Google Scholar 

  3. Pejic, D. and Vujicic, V.: ‘Accuracy limit of high-precision stochastic Watt-hour meter’, IEEE Trans. Instrum. & Measurement, 2000, 49, (3), pp. 617–620, doi: 10.1109/19.850404

    Google Scholar 

  4. Vujičić, V.: ‘Generalized low frequency stochastic true RMS instrument’, IEEE Trans. Instrum. & Measurement, 2001, 50, (5), pp. 1089–1092, doi: 10.1109/19.963164

    Google Scholar 

  5. Santrač, B., Sokola, M. A., Mitrović, Z., Župunski, I. and Vujičić, V.: ‘A novel method for stochastic measurement of harmonics at low signal-to-noise ratio’, IEEE Trans. Instrum. & Measurement, 2009, 58, (10), pp. 3434–3441, doi: 10.1109/TIM.2009.2017661

    Google Scholar 

  6. Pjevalica, V. and Vujičić, V.: ‘Further generalization of the low-frequency true-RMS instrument’, IEEE Trans. Instrum. & Measurement, 2010, 59, (3), pp. 736–744, doi: 10.1109/TIM.2009.2030874.

    Google Scholar 

  7. Sovilj, P.V., Milovancev, S.S. and Vujicic, V.: ‘Digital Stochastic Measurement of a Nonstationary Signal With an Example of EEG Signal Measurement,’ IEEE Trans. Instrum. & Measurement, 2011, 60, (9), pp. 3230–3232, doi: 10.1109/TIM.2011.2128670

    Google Scholar 

  8. Sovilj, P.V.: ‘Stochastic Digital Measurement of EEG signal,’ (PhD theses, Faculty of Technical Sciences, University of Novi Sad, Serbia, 2010), in Serbian

    Google Scholar 

  9. J. Đorđević-Kozarov, D. Mitić, P. Sovilj, V. Vujičić, D. Radenković, „Model Development for Digital Stochastic Measurement of EOG Signals“, National Conf. ETRAN 2014, Vrnjačka Banja, Srbija, ML 1.2, pp. 1-3, June 2014.

    Google Scholar 

  10. J. Djordjević-Kozarov, P. Sovilj, D. Mitić, V. Vujičić, D. Radenković, „Model Development for Digital Stochastic Measurement of Noised EOG Signals“, Int. Conf. ICEST 2014, Niš, Serbia, vol. 2, MST.3, pp. 417-420, June 2014.

    Google Scholar 

  11. J. Đorđević-Kozarov, P. Sovilj, V. Vujičić, D. Mitić, D. Radenković, „A Novel Method for Gibbs Phenomenon Reduction in Stochastic Measurement of EOG Signal“, Int. Conf. IcETRAN 2016, Zlatibor, Serbia, MLI1.4, pp. 1-4, June 2016.

    Google Scholar 

  12. Carl, J.R.: ‘Principles and Techniques of Electro-oculography’ in Jacobson, G.P., Newman, C.W. and Kartush, J.M.: ‘Handbook of Balance Function Testing’ (Singular Publishing Group, San Diego, USA, 1997, first edition)

    Google Scholar 

  13. Sovilj, P., Vujičić, V., Pjevalica, N., Pejić, D., Urekar, M., Župunski, I., “Influence of signal stationarity on digital stochastic measurement implementation”, Electronics, 17 (1), pp. 45-53, 2013.

    Google Scholar 

  14. Wilbraham, H., “On a certain periodic function”, The Cambridge and Dublin Mathematical Journal, 3, pp. 198-201, 1848.

    Google Scholar 

  15. Gibbs, J.W.: ‘Fourier’s series’, Nature, 59 (1539), pp. 606, 1899.

    Google Scholar 

  16. Hazewinkel, M.: ‚Gibbs phenomenon‘ in ‘Encyclopedia of Mathematics’, Springer, 2001.

    Google Scholar 

  17. PhysioNet, URL: https://www.physionet.org/cgi-bin/atm/ATM

  18. A. L. Goldberger, L. A. N. Amaral, L. Glass, J. M. Hausdorff, P. Ch. Ivanov, R. G. Mark, J. E. Mietus, G. B. Moody, C. K. Peng, H. E. Stanley, „PhysioBank, PhysioToolkit, and PhysioNet: Components of a New Research Resource for Complex Physiologic Signals”. Circulation, vol. 101, no. 23, ep. 215-220 URL: http://circ.ahajournals.org/cgi/content/full/101/23/e215, doi: 10.1161/01.CIR.101.23.e215

  19. CVX Research: ‘CVX: Matlab software for disciplined convex programming, version 2.0 beta’, http://cvxr.com/cvx, accessed August 2013.

  20. Smith, S.W.: ‘The Scientist and Engineer’s Guide to Digital Signal Processing’ (2nd ed.), California Technical Publishing, pp. 141-168, 1999.

    Google Scholar 

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Correspondence to J. Djordjević-Kozarov .

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Djordjević-Kozarov, J., Sovilj, P., Vujičić, V., Mitić, D., Simić, M., Radenković, D. (2017). Experimental Verification of EOG Signal Measurement Using the Modified Digital Stochastic Measurement Method. In: Badnjevic, A. (eds) CMBEBIH 2017. IFMBE Proceedings, vol 62. Springer, Singapore. https://doi.org/10.1007/978-981-10-4166-2_20

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  • DOI: https://doi.org/10.1007/978-981-10-4166-2_20

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