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Real Time Fluctuation Analysis of Heart Rate

Keywords:

А.V. Alpatov, M.Y. Mitrofanova


The article discusses the usage of the fluctuation analysis to evaluate the short-range scaling properties of RR-signals, since the use of short-time implementations allows the analysis of cardiac rhythm fluctuations in real time. Established that since the length of RR-signal is 256 intervals, the fluctuation method based on the DFA algorithm captures the existence of stable correlations in the RR-signal. This number is taken as the basis for the development of windowing method of fluctuation analysis using the local scaling exponent (short-range fluctuation), which reflects the momentary state of the system of regulation: peace or excitement. Value for the scaling exponent throughout the implementation of RR-signal (long-distance fluctuations) reflects the general state of the system. To implement the method of fluctuation analysis of heart rate in real time within the control of the functional state of the person it is proposed to use three-channel calculation of fluctuation parameters: the cumulative (long-range correlations), windowing with accumulation of 256 RR-intervals (short-range correlations), surrogate channel to control the correctness of scaling exponent calculations. The scope of this article does not include the questions of
References:
June 24, 2020
May 29, 2020

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