Multifractal Characterization and Modeling of Blood Pressure Signals

In this paper, a multi-fractal analysis on a diastolic blood pressure signal is conducted. The signal is measured in a time span of <i>circa</i> one day through the multifractal detrended fluctuation analysis framework. The analysis is performed on asymptotic timescales where complex reg...

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Bibliographic Details
Main Authors: Enrico De Santis, Parisa Naraei, Alessio Martino, Alireza Sadeghian, Antonello Rizzi
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Algorithms
Subjects:
Online Access:https://www.mdpi.com/1999-4893/15/8/259
Description
Summary:In this paper, a multi-fractal analysis on a diastolic blood pressure signal is conducted. The signal is measured in a time span of <i>circa</i> one day through the multifractal detrended fluctuation analysis framework. The analysis is performed on asymptotic timescales where complex regulating mechanisms play a fundamental role in the blood pressure stability. Given a suitable frequency range and after removing non-stationarities, the blood pressure signal shows interesting scaling properties and a pronounced multifractality imputed to long-range correlations. Finally, a binomial multiplicative model is investigated showing how the analyzed signal can be described by a concise multifractal model with only two parameters.
ISSN:1999-4893