Research of the Autonomic Regulation in the Formation of the Brain Microwave Radiation Restoration Processes during Rehabilitation of the Stroke Patients - Study by Means of the Multifractal Analysis of the Radiophysical Complex MRTHR Signals

Vladimir Kublanov, Vasilii Borisov, Yan Kazakov, Alexander Azin

2017

Abstract

The paper discusses the possibility of applying multifractal cross-correlation analysis method for the joint processing of transient biomedical signals received via the Radiophysical complex MRTHR (Medical Radio-Thermograph Heart Rate) for rehabilitations estimations. The results of the multifractal cross-correlation analysis application are shown for research the role of the autonomic regulation in the formation of the brain microwave radiation (intrinsic electromagnetic radiation of the brain) in the treatment process. A pilot clinical study obtained by the multichannel Radiophysical complex MRTHR had shown the dynamics discrepancies of cross-correlation Hurst exponent coincides with the clinical data for patients after passing through the course of rehabilitation using techniques of the dynamic correction activity of the sympathetic nervous system.

References

  1. Arnaud, K. and Di, N., 2016. Choroid plexus trophic factors in the developing and adult brain. Frontiers in Biology, 11 (3), 214-221.
  2. Bland, J. M., Altman, D. G., 1986. Statistical methods for assessing agreement between two methods of clinical measurement. Lancet, 8476(1), 307-310.
  3. Boakye, P. A., et al., 2016. A critical review of neurobiological factors involved in the interactions between chronic pain, depression, and sleep disruption. Clinical Journal of Pain, 32 (4), 327-336.
  4. Danilov, Y. P., et al., 2015. Non-invasive multi-channel neuro-stimulators in treatment of the nervous system disorders. BIODEVICES 2015 - 8th International Conference on Biomedical Electronics and Devices, Proceedings; Part of 8th International Joint Conference on Biomedical Engineering Systems and Technologie, 1, 88-94.
  5. Deligniers, D., Almurad, Z.M.H., Roume, C., and Marmelat, V., 2016. Multifractal signatures of complexity matching. Experimental Brain Research, 234 (10), 2773-2785.
  6. Di, I., Esteban, F. J., Grizzi, F., Klonowski, W., and MartínLandrove, M., 2015. Fractals in the neurosciences, part II: Clinical applications and future perspectives. Neuroscientist, 21 (1), 30-43.
  7. Fleishman, A. N., 2005. The IV All-Russian Symposium on Slow Oscillatory Processes in the Human Body and the II School/Seminar on Nonlinear Dynamics in Physiology and Medicine. Human Physiology, 32(2), 248-250.
  8. Guyton, A. C. and Hall, J. E., 2011. Textbook of medical physiology. Saunders Elsevier.
  9. Hurley, L. L. and Tizabi, Y., 2013. Neuroinflammation, neurodegeneration, and depression. Neurotoxicity Research, 23 (2), 131-144.
  10. Jeong, J. H., et al., 2016. Group-and home-based cognitive intervention for patients with mild cognitive impairment: A randomized controlled trial. Psychotherapy and Psychosomatics, 85 (4), 198-207.
  11. Kessner, S. S., Bingel, U., and Thomalla, G., 2016. Somatosensory deficits after stroke: A scoping review. Topics in Stroke Rehabilitation, 23 (2), 136-146.
  12. Kublanov, V. S., 2013. Microwave radiation as interface to the brain functional state. Proc. of the International Conference on Biomedical Electronics and Devices, 6, 318-322.
  13. Kublanov, V. S., Borisov, V. I. , Dolganov, A. Y., 2015. The interface between the brain microwave radiation and autonomic nervous system. Annual International IEEE EMBS Conference on Neural Engineering, 7, 922-925.
  14. Kublanov, V., Borisov, V., Dolganov, A., 2016. Summary processing of Radiophysical complex MRTHR signals. BIOSIGNALS 2016 - 9th International Conference on Bio-Inspired Systems and Signal Processing, Proceedings; Part of 9th International Joint Conference on Biomedical Engineering Systems and Technologies, l, 143-149.
  15. Kublanov, V. S., Petrenko, T.S., Babich, M.V., 2015. Multi-electrode neurostimulation system for treatment of cognitive impairments. Presented at the Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, 2091-2094.
  16. Kublanov, V. S., Sedelnikov, Ju. E., Azin, A.L., and Syskov, A.M., 2010. The Nature of Fluctuations Own Electromagnetic Radiation of the Brain. Biomedical Radioelectronics, 9, 45-54.
  17. Malik M. et al, 1996. Heart rate variability. Standards of Measurement, Physiological interpretation and clinical use. Circulation, 93, 1043-1065.
  18. Moskalenko, Yu. E., 1992. Cerebral Circulation, Cardiovascular Diseases [in Russian]. Meditsina, vol. 1.
  19. Lundborg, G., 2005. Nerve Injury and Repair: Regeneration, Reconstruction, and Cortical Remodeling: Second Edition.
  20. Pavlov, A. N., et al., 2016. Characterizing cerebrovascular dynamics with the wavelet-based multifractal formalism. Physica A: Statistical Mechanics and its Applications, 442, 149-155.
  21. Pocock, G., Richards, C. D., 2013. Human Physiology: The Basis of Medicine. Oxford Core Texts.
  22. Podobnik, B., Stanley, H. E., 2008. Detrended CrossCorrelation Analysis: A New Method for Analyzing Two Nonstationary Time Series. Physical Review Letters, 100, art. no. 084102.
  23. Rial, D., et al., 2016. Depression as a glial-based synaptic dysfunction. Frontiers in Cellular Neuroscience, 9 (JAN2016), 1-11.
  24. Ringleb, P. A., et al., 2008. Guidelines for Management of Ischaemic Stroke and Transient Ischaemic Attack 2008. Cerebrovascular Diseases 25(5), 457-507.
  25. Schmidt, R. F., Thews G., 1989. Human Physiology. Springer-Verlag. Berlin, Heidelberg, New York.
  26. Stetler, R. A., et al., 2014. Preconditioning provides neuroprotection in models of CNS disease: Paradigms and clinical significance. Progress in Neurobiology, 114, 58-83.
  27. Togo, F., et al., 2006. Unique very low-frequency heart rate variability during deep sleep in humans. Biomedical Engineering, 53, 28-34.
  28. Varidaki, A., Mohammad, H., and Coffey, E.T., 2016. Molecular Mechanisms of Depression. In: Systems Neuroscience in Depression. 143-178.
  29. Whalley, L. J., Staff, R.T., Fox, H.C., and Murray, A.D., 2016. Cerebral correlates of cognitive reserve. Psychiatry Research - Neuroimaging, 247, 65-70.
  30. Závodszky, G., Károlyi, G., and Paál, G., 2015. Emerging fractal patterns in a real 3D cerebral aneurysm. Journal of Theoretical Biology, 368, 95-101.
Download


Paper Citation


in Harvard Style

Kublanov V., Borisov V., Kazakov Y. and Azin A. (2017). Research of the Autonomic Regulation in the Formation of the Brain Microwave Radiation Restoration Processes during Rehabilitation of the Stroke Patients - Study by Means of the Multifractal Analysis of the Radiophysical Complex MRTHR Signals . In Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 4: NENT, (BIOSTEC 2017) ISBN 978-989-758-212-7, pages 299-306. DOI: 10.5220/0006157102990306


in Bibtex Style

@conference{nent17,
author={Vladimir Kublanov and Vasilii Borisov and Yan Kazakov and Alexander Azin},
title={Research of the Autonomic Regulation in the Formation of the Brain Microwave Radiation Restoration Processes during Rehabilitation of the Stroke Patients - Study by Means of the Multifractal Analysis of the Radiophysical Complex MRTHR Signals},
booktitle={Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 4: NENT, (BIOSTEC 2017)},
year={2017},
pages={299-306},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006157102990306},
isbn={978-989-758-212-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 4: NENT, (BIOSTEC 2017)
TI - Research of the Autonomic Regulation in the Formation of the Brain Microwave Radiation Restoration Processes during Rehabilitation of the Stroke Patients - Study by Means of the Multifractal Analysis of the Radiophysical Complex MRTHR Signals
SN - 978-989-758-212-7
AU - Kublanov V.
AU - Borisov V.
AU - Kazakov Y.
AU - Azin A.
PY - 2017
SP - 299
EP - 306
DO - 10.5220/0006157102990306