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Methods of Mutual Analysis of Random Oscillations in the Problems of Research of the Vertical Human Posture

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Advances in Artificial Systems for Medicine and Education II (AIMEE2018 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 902))

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Abstract

The application of the maximum correlation coefficient, the dispersion ratio, and the mutual dispersion function for revealing the nonlinear relationship of the oscillations of the human body in the sagittal and frontal directions is considered. For some neurological diseases, a high degree of coherence of oscillations in the sagittal and frontal directions is noted in sufficient wide frequency bands, which indicates the presence of a strong linear inertial statistical coupling of the oscillations.

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References

  1. Gagey, P.-M., Weber, B.: Posturologie: Regulation et dereglements de la station debout, p. 224. Masson, Paris (2004)

    Google Scholar 

  2. Gurfinkel, V.S., Kots, Y.M., Shik, M.L.: Regulation of the Person’s Pose, p. 256. Nauka, Moscow (1965). (in Russian)

    Google Scholar 

  3. Skvortsov, D.V.: Diagnosis of Motor Pathology by Instrumental Methods: Gait Analysis, Stabilometry, p. 640. T.M. Andreeva, Moscow (2007). (in Russian)

    Google Scholar 

  4. Maatar, D., Lachiri, Z., Fournier, R., Nait-Ali, A.: Stabilogram mPCA decomposition and effects analysis of several entries on the postural stability. Int. J. Image Graph. Signal Process. 4(5), 21–30 (2012). https://doi.org/10.5815/ijigsp.2012.05.03

    Article  Google Scholar 

  5. Baron, J.: History of posturography. In: Igarashi, M., Black, F. (eds.) Vestibular and Visual Control of Posture and Locomotor Equilibrium, pp. 54–59. Karger, Basel (1983)

    Google Scholar 

  6. Vinarskaya, E.N., Kuuz, R.A., Ronkin, M.A., Firsov, G.I.: Topological aspects of afferent and efferent system synthesis in the problems of studying postural human activity. Inform. Control Syst. 4(22), 44–46 (2009). (in Russian)

    Google Scholar 

  7. Belyaev, V.E., Kononov, A.F., Sliva, S.S.: Approaches to the Assessment of the Area of the Statokinesigram. Clinical Postural Studies, Posture and Bite, pp. 81–86. SPb.: OOO “Publishing House of SPbMAPO” (2004). (in Russian)

    Google Scholar 

  8. Furman, Y.A., Krevetskiy, A.V., Peredreyev, A.K.: Introduction to Contour Analysis and its Applications to the Processing of Images and Signals, p. 592. Fizmatlit, Moscow (2002). (in Russian)

    Google Scholar 

  9. Rvachev, V.L.: Theory of R-Functions and Some of its Applications, p. 552. Dumka, Kiev (1982). (in Russian)

    Google Scholar 

  10. Kuuz, R.A., Firsov, G.I.: Application of computer stabilometry methods for solving functional diagnostics problems in neurology. Biomed. Radioelectron. 5–6, 24–33 (2001). (in Russian)

    Google Scholar 

  11. Kuuz, R.A., Magomedova, R.K., Rozenblyum, M.G., Suslov, V.N., Firsov, G.I.: Investigation of spectral features and non-linear dynamics of physiological, essential and parkinsonian tremor. Bull. Sci. Tech. Dev. 11(39), 12–20 (2010). (in Russian)

    Google Scholar 

  12. Kuuz, R.A., Ronkin, M.A., Firsov, G.I.: Methods of parametric spectral analysis of stabilographic information in clinical neurology. Medico-ecological information technologies, pp. 11–14. Kursk: KSTU (2004). (in Russian)

    Google Scholar 

  13. Khashei, M., Montazeri, M.A., Bijari, M.: Comparison of four interval ARIMA-base time series methods for exchange rate forecasting. Int. J. Math. Sci. Comput. 1(1), 21–34 (2015). https://doi.org/10.5815/ijmsc.2015.01.03

    Article  Google Scholar 

  14. Akaike, H.: Canonical correlation analysis of time series and the use of an information criterion. In: System Identification: Advanced and Case Studies, pp. 27–96. Academic Press, New York (1976)

    Google Scholar 

  15. Diukova, G.M., Stoliajrova, A.V., Kuuz, R.A., Firsov, G.I., Vein, A.M.: Posturography in hysteria. In: International Symposium of Gait Disorders, Prague, Czech Republic, 4–6 Sept 1999. Book of Abstracts, Qualisis, Prague, pp. 122 (1999)

    Google Scholar 

  16. Rosenblum, M.G., Firsov, G. I., Kuuz, R.A., Pompe, B.: Human postural control: force plate experiments and modeling. In: Kantz, H., Kurths, J., Mayer-Kress, G. (eds.) Nonlinear Analysis of Physiological Data, pp. 283–306. Springer, Berlin (1998)

    Google Scholar 

  17. Rosenblum, M.G., Firsov, G.I., Kuus, R.A., Suslov, V.N.: Investigation of chaotic oscillations in a nonlinear control system for maintaining the vertical posture of the human body. Bull. Sci. Tech. Dev. 3, 32–42 (2007). (in Russian)

    Google Scholar 

  18. Raybman, N.S., Kapitonenko, V.V., Ovsepyan, F.A., Varlakov, P.M.: Dispersion Identification, p. 336. Nauka, Moscow (1981). (in Russian)

    Google Scholar 

  19. Alain, K.S.T., Bertrand, F.H.: A secure communication scheme using generalized modified projective synchronization of coupled Colpitts oscillators. Int. J. Math. Sci. Comput. 4(1), 56–70 (2018). https://doi.org/10.5815/ijmsc.2018.01.04

    Article  Google Scholar 

  20. Ehlers, C.L.: Chaos and complexity: can it help us to understand the mood and behavior. Arch. Gen. Psych. 52, 960–964 (1995)

    Article  Google Scholar 

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Correspondence to G. I. Firsov .

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Firsov, G.I., Statnikov, I.N. (2020). Methods of Mutual Analysis of Random Oscillations in the Problems of Research of the Vertical Human Posture. In: Hu, Z., Petoukhov, S., He, M. (eds) Advances in Artificial Systems for Medicine and Education II. AIMEE2018 2018. Advances in Intelligent Systems and Computing, vol 902. Springer, Cham. https://doi.org/10.1007/978-3-030-12082-5_22

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