Inicio  /  Algorithms  /  Vol: 15 Par: 8 (2022)  /  Artículo
ARTÍCULO
TITULO

Multifractal Characterization and Modeling of Blood Pressure Signals

Enrico De Santis    
Parisa Naraei    
Alessio Martino    
Alireza Sadeghian and Antonello Rizzi    

Resumen

In this paper, a multi-fractal analysis on a diastolic blood pressure signal is conducted. The signal is measured in a time span of circa 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.

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