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Topical Analysis of the State of the Major Human Body Systems by Wavelet Introscopy

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Biomedical Engineering Aims and scope

We report here studies of the important connection between the state of body systems and their organization as self-similar fractal structures. Morphogenesis at all hierarchical levels — from a protein molecule to a whole organism — obeys general laws of structural self-organization. Creation of effective computer algorithms for processing biosignals based on nonlinear dynamic models of the biosystems of the human body is a valuable task in monitoring the state of the cardiovascular system, as biological processes are nonlinear in nature and fractal in structure. Detailed information on the state of the biological networks of the human body can be obtained during topical diagnostics by using wavelet analysis of biological signals (wavelet introscopy). Wavelet introscopy provides for visualization of the cryptic elements of the cardiac neural conducting system (CNCS), in particular its amplitude-phase characteristics and the presumptive intermittent nature of the operation of nerve endings between adjacent heart cycles.

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References

  1. Aldonin, G. M., “Autonomous monitoring of the main set of parameters of the cardiovascular system,” Biomed. Eng., 46, No. 6, 232–236 (2013).

    Article  Google Scholar 

  2. Goldberger, A. L., Rigney, P. R., and West, B. J., “Chaos and fractals in human physiology,” Sci. Am., 262, 42–49 (1990).

    Article  CAS  PubMed  Google Scholar 

  3. Mandelbrot, B. B., The Fractal Geometry of Nature [Russian translation], Institute of Computer Research, Moscow (2002).

    Google Scholar 

  4. Astaf’eva, N. M., “Wavelet analysis: Bases of theories and examples of application,” Usp. Fiz. Nauk, 166, No. 11, 1050–1056 (1996).

  5. Helmholtz, H., Nerve Impulse Conduction Velocity [Russian translation], GIZ, Moscow (1923).

    Google Scholar 

  6. Aldonin, G. M., Cherepanov, V. V., and Yarygina, O. L., “Self-organization in a system of linked nonlinear oscillators,” Radiotekhnika, No. 6, 50–54 (2013).

    Google Scholar 

  7. Soldatov, A. V., Aldonin, G. M., and Cherepanov, V. V., “Wavelet analysis of cardiac electrical activity signals,” Biomed. Eng., 52, No. 2, 120–124 (2018).

    Article  Google Scholar 

  8. Aldonin, G. M., Soldatov, A. V., and Cherepanov, V. V., “A programmable system based on the MKM-11 recorder,” J. Sib. Fed. Univ. Eng. Technol., 11, No. 6, 671–679 (2018).

    Google Scholar 

  9. Aldonin, G. M. and Cherepanov, V. V., Wavelet Introscopy of the Vascular Network of the Circulatory Bed [in Russian], Patent No. 2723763 application No. 2019108517/14, ROSPATENTA, April 28, 2020.

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Correspondence to V. V. Cherepanov.

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Translated from Meditsinskaya Tekhnika, Vol. 57, No. 3, May–June, 2023, pp. 14–18.

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Aldonin, G.M., Cherepanov, V.V. Topical Analysis of the State of the Major Human Body Systems by Wavelet Introscopy. Biomed Eng 57, 173–179 (2023). https://doi.org/10.1007/s10527-023-10292-w

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  • DOI: https://doi.org/10.1007/s10527-023-10292-w

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