Application of bioradiophotonics methods for the processing of bioelectric signals

The application of modern and perspective bioradiophotonics methods on the basis of optical and acousto-optic devices for the processing of bioelectric signals (BES) have been considered. The basic application difficulties of these methods are connected with the fact that the studied signals are of low frequencies, and development of special actions are required for the processing devices adapting. It has been proposed to introduce into acousto-optic processing system with time integration the bioelectric signals using method of high frequency carrier with linear frequency modulation which is modulated by low frequency signal. The system configuration has to provide the realization of convolution procedure; hence, the used Bragg cells must be oriented oppositely to each other. The performed analysis has shown that it is possible to realize both signal power spectrum calculation and its wavelet transform; the presence of carrier is obligatory for both kinds of processing. Also, the method of the preliminary BES compression has been proposed for its transmission into the high frequency area. In this case, the possibility occurs to introduce the signal into the acoustooptic processing system with spatial integration. In the simple acousto-optic correlator with the reference transparency the envelope of the correlation function is formed depending on time. Using the set of the reference transparencies in the multichannel correlator, it is possible to realize the prolonged BES wavelet analysis using the mother wavelet. The optical preliminary BES processing can be also performed using liquid crystal arrays. The analysis of the processing of electrocardiac signals obtained from the experimental animals (rats) has been listed using the liquid crystal array for the signal introduction into optical processing system. It has been shown that both spectral and wavelet processing can be realized in this case without using of the high frequency carrier by the low frequency signal. The use of the obtained results will make it possible to create a new family of devices for wavelet processing of bioelectrical signals implemented in real time which will make an important contribution to improving the diagnosis of diseases of the cardiovascular system, the cortex, and the central nervous system.

1. Zaichenko K.V., Gurevich B.S. Spectral processing of bioelectric signals. Biomedical Engineering, 2021, vol. 55, no. 1, pp. 17–20. https://doi.org/10.1007/s10527-021-10062-6

2. Gulyaev Y.V., Zaichenko K.V. High-resolution electrocardiography. Task. Problem. Prospects. Journal Biomedical Radioelectronics, 2013, no. 9, pp. 5–15. (in Russian)

3. Zaichenko K.V., Gurevich B.S. Electroencephalography in the extended amplitude and frequency ranges. SUAI Scientific Session: Conference proceedings of the scientific session dedicated to the World Day of Aviation and Cosmonautics. In 3 parts, Part II. Technical sciences. St. Petersburg, SUAI, 2019, pp. 150–152. (in Russian)

4. Zaichenko K.V., Gurevich B.S., Kordyukova A.A. Method of reliable electrocardiographic control of ischemia appearance in investigations with experimental animals. Proc. of the 2021 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology (USBEREIT), 2021, pp. 78–81. https://doi.org/10.1109/USBEREIT51232.2021.9455029

5. Yu F.T.S., Jutamulia S. Optical Signal Processing, Computing, and Neural Networks. New York, John Wiley & Sons, 1992, 419 p.

6. Naumov K.P., Ushakov V.N. Acousto-Optical Signal Processors. Moscow, Science Press, 2002, 80 p. (in Russian)

7. Petrunkin V., Aksyonov E., Starikov G. Wavelet transform in optical processors: potentials and perspectives. Proceedings of SPIE, 2002, vol. 4680, pp. 256–263. https://doi.org/10.1117/12.454687

8. VanderLugt A. Optical Signal Processing. New York, N.Y., Wiley, 1991, 632 p.

9. Feng W., Yan Y., Jin G., Wu M., He Q. Dual multichannel optical wavelet transform processor. Proceedings of SPIE, 1999, vol. 3804, pp. 249–255. https://doi.org/10.1117/12.363971

10. Wang Y., Ma L., Shi S. An optical method for production of Haar wavelet. Optics Communications, 2002, vol. 204, no. 1-6, pp. 107–110. https://doi.org/10.1016/S0030-4018(02)01246-4

11. Turpin T.M. Time integrating optical processors. Proceedings of SPIE, 1978, vol. 154, pp. 196–203. https://doi.org/10.1117/12.938255

12. Kellman P. Time integrating optical signal processing. Optical Engineering, 1980, vol. 19, no. 3, pp. 370–375. https://doi.org/10.1117/12.7972521

13. Montgomery R.M. Acousto-optical signal processing system. Patent US3634749, 1972.

14. Zaichenko K.V., Gurevich B.S. Early diagnostics of ischemia by means of electrocardiographic signals processing using acousto-optic Fourier processors with time integration. Proceedings of SPIE, 2019, vol. 11075, pp. 110751U. https://doi.org/10.1117/12.2535709

15. Zaichenko K.V., Gurevich B.S. Acousto-optic wavelet processing of bioelectric signals. Pis’ma v Zhurnal tehnicheskoj fiziki, 2022, vol. 48, no. 1, pp. 36–38. (in Russian). https://doi.org/10.21883/PJTF.2022.01.51877.18988

16. Zaichenko K.V. High accuracy adaptive frequency measurements for low signals in acoustic optical processors. Proceedings of SPIE, 1994, vol. 2051, pp. 732–738. https://doi.org/10.1117/12.165963

17. Aristarkhov G.M., Vorobev A.V., Guliaev Iu.V., Dmitriev V.F., Zaichenko K.V. et al. Filtration and Spectral Analysis of Radio Signals. Moscow, Publishing house “Radiotekhnika”, 2020, 504 p. (in Russian)

18. Kuzmin M.S., Rogov S.A. Spatial light modulator based on liquidcrystal video projector matrix for information processing systems. Optical Memory & Neural Networks (Information Optics), 2013, vol. 22, no. 4, pp. 261–266. https://doi.org/10.3103/S1060992X13040103

19. Kuzmin M.S., Rogov S.A. Input of low-frequency signals into optical information processing systems with a liquid crystal matrix input. Proc. of the XI International Conference Photonics and Information Optics, Moscow, NRNU MEPhI, 2022, pp. 611–612. (in Russian)

20. Kuzmin M.S., Rogov S.A. A folded-spectrum analyzer with a liquidcrystal input device. Technical Physics Letters, 2014, vol. 40, no. 8, pp. 629–631. https://doi.org/10.1134/S1063785014080082

21. Kuz’min M.S., Rogov S.A. Processing of 1D signals with raster input in 2D optical correlators. Technical Physics, 2015, vol. 60, no. 4, pp. 631–633. https://doi.org/10.1134/S1063784215040179

22. Kuz’min M.S., Rogov S.A. Optical fourier processor with a liquidcrystal information-input device. Journal of Optical Technology, 2015, vol. 82, no. 3, pp. 147–152. https://doi.org/10.1364/JOT.82.000147