KEYWORDS: Interference (communication), Signal processing, Fractal analysis, Digital signal processing, Statistical analysis, Heart, Data modeling, Analytical research, Telecommunications, Diagnostics
The article explores the possibility of applying modifications to the R/S- analysis method for pulsogram processing under conditions where the noise level is unknown. It is shown that a fast algorithm for calculating the Hirst coefficient can be used to estimate the noise level in a pulse signal. The R/S-analysis method for pulsogram processing has been improved by optimizing the initial conditions, which makes it possible to select the required pulse wave registration interval.
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