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Bogachev, M.I., Kayumov, A.R., Krasichkov, A.S. and Markelov, O.A. (2012) Mathematical Methods for Identifying Regulatory and Statistical Patterns in Large Volume Biomedical and Economic Data. SPbETU “LETI”, Saint Petersburg, 176 p.

has been cited by the following article:

• TITLE: Estimation of the Randomness of Heart Rhythm Using Fractal Characteristics

  AUTHORS: Abdullaev Namik Tahir, Ibrahimova Irada Javad

  KEYWORDS: Multifractal, Herst Indicator, Heart Rate, Deterministic Chaos, Software

  JOURNAL NAME: Open Access Library Journal, Vol.7 No.7, July 10, 2020

  ABSTRACT: The article discusses the characteristics of the fractality of heart rate variability represented by a time series. An algorithm for calculating the Hurst exponent is presented, which allows one to evaluate the degree of chaotization of the signal in question. The capabilities of various multifractal analysis programs are shown, which require the use of different mathematical models.