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.
Cite this paper
Tahir, A. N. and Javad, I. I. (2020). Estimation of the Randomness of Heart Rhythm Using Fractal Characteristics. Open Access Library Journal, 7, e6444. doi: http://dx.doi.org/10.4236/oalib.1106444.
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.
