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  • 89 -12 (86) 2025 - Gafarov R.R. - AUTOMATED DETERMINATION OF SPERMATOZOA VITALITY BASED ON DIGITAL ALGORITHMS OF COLOR SIGNAL PROCESSING

89 -12 (86) 2025 - Gafarov R.R. - AUTOMATED DETERMINATION OF SPERMATOZOA VITALITY BASED ON DIGITAL ALGORITHMS OF COLOR SIGNAL PROCESSING

AUTOMATED DETERMINATION OF SPERMATOZOA VITALITY BASED ON DIGITAL ALGORITHMS OF COLOR SIGNAL PROCESSING

Gafarov R.R. - Samarkand State Medical University

Resume

This article investigates the structure and practical implementation of a digital color signal processing algorithm utilizing the Daubechies wavelet, with specific applications in andrology and reproductive medicine. Color signals employed to assess spermatozoa vitality served as the primary experimental subject. Evaluation of sperm vitality represents a critical parameter in semen analysis, providing essential information regarding male fertility, defined as the ability to fertilize an oocyte. The proposed algorithm facilitated microscopic registration of color signals from cells, focusing on spermatozoa stained with specialized staining techniques. To estimate error, the absolute error of the Daubechies wavelet relative to the actual signal was calculated using results obtained through the Python programming language.

Keywords: male infertility, sperm vitality, spermogram, wavelet transform, interpolation, interpolation error, Daubechies wavelet, absolute error.

First page

493

Last page

499

For citation:Gafarov R.R. - AUTOMATED DETERMINATION OF SPERMATOZOA VITALITY BASED ON DIGITAL ALGORITHMS OF COLOR SIGNAL PROCESSING//New Day in Medicine 12(86)2025 493-499 https://newdayworldmedicine.com/en/new_day_medicine/12-86-2025

List of References

  1. Agarwal A, Sharma RK, Gupta S, et al. Sperm Vitality and Necrozoospermia: Diagnosis, Management, and Results of a Global Survey of Clinical Practice. World J Mens Health. 2022;40(2):228-242. doi:10.5534/wjmh.210149
  2. Chung E, Atmoko W, Saleh R, Shah R, Agarwal A. Sixth edition of the World Health Organization laboratory manual of semen analysis: Updates and essential take away for busy clinicians. Arab J Urol. 2023 Dec 25;22(2):71-74. doi: 10.1080/20905998.2023.2298048. PMID: 38481407; PMCID: PMC10929669.
  3. Giyasov R., Gafarov Z.R., Shodmonova S.T. Akilov F.A. Urologiia, the role of systematization of postoperative complications in assessing the efficiency and safety of surgical methods for the treatment of benign prostatic hyperplasia 2022.
  4. Shodmonova, Z. R., Gafarov, R. R., Allazov, S. A., Giyasov, S. I. (2021). Phosphodesterase type 5 inhibitors-clinical efficiency and role in therapy for erectile dysfunction. Urologiia 2021;(2):135-140.
  5. Urakov Sh., Juraev J., Abdiyiv K. Xurramov L. 2022. Digital signal processing with polynomial and Dobeshi wavlets. Artificial intelligence, blockchain, computing and security volume 2.
  6. World Health Organization (WHO). WHO laboratory manual for the examination and processing of human semen. 6th ed. Geneva: WHO; 2021.
  7. Zaynidinov H. Azimov, B. 2019. Biomedical signals interpolation spline models. International Conference on Information Science and Communications Technologies: Applications, Trends and Opportunities 2019;5(2):15-25.
  8. Zaynidinov H., Juraev J., Juraev U. Digital Image Processing with Two-Dimensional Haar Wavlets. International Journal of Advanced Trends in Computer Science and Engineering, 2020 May – June; 9(3):2729-2734.
  9. Зайнидинов Хакимжон Насридинович, Атаджанова Мукаддас Пулатовна, Жиянбеков Хуршидбек Равшанбекович,“ Многопроцессорная вычислительная структура для выполнения быстрых спектральных преобразований в двумерных базисах”, автоматика и программная инженерия, Новосибирск. 2016. 38-42 стр.

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