Paper
20 December 2021 Qualitative analysis of pulsograms by fractility indices
Tatyana N. Nikitchuk, Oksana L. Korenivska, Dmytro Shtofel, Jamalbek A. Tussupov, Vasyl B. Benedytskyi, Tetiana A. Vakaliuk, Iryna M. Kobylianska
Author Affiliations +
Proceedings Volume 12126, Fifteenth International Conference on Correlation Optics; 121262J (2021) https://doi.org/10.1117/12.2617387
Event: Fifteenth International Conference on Correlation Optics, 2021, Chernivtsi, Ukraine
Abstract
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.
© (2021) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Tatyana N. Nikitchuk, Oksana L. Korenivska, Dmytro Shtofel, Jamalbek A. Tussupov, Vasyl B. Benedytskyi, Tetiana A. Vakaliuk, and Iryna M. Kobylianska "Qualitative analysis of pulsograms by fractility indices", Proc. SPIE 12126, Fifteenth International Conference on Correlation Optics, 121262J (20 December 2021); https://doi.org/10.1117/12.2617387
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KEYWORDS
Interference (communication)

Signal processing

Fractal analysis

Digital signal processing

Analytical research

Data modeling

Heart

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