Fractal dimension of mean arterial pressure and heart-rate time series from ambulatory blood pressure monitoring devices

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Ambulatory blood pressure monitoring (ABPM) devices provide 24-hour profiles of mean arterial pressure (MAP) and heart rate (HR) by inflating an arm-cuff every 15 minutes during daytime and every 20 minutes during night-time. Aim of this work is to evaluate whether the intrinsic structure of ABPM dynamics can be described during day and night subperiods by calculating the fractal dimension (FD) of MAP and HR. For this aim, first we evaluated the performances a recently proposed FD estimator on short segments of fractional Brownian motions. Then we applied the new FD estimator on 24-hour ABPM recordings of two healthy volunteers. The FD estimator showed good performances on synthesized data, with lower bias compared to Higuchi's method. FD estimates of real data tended to be higher during the day. In particular, FD of daytime MAP (1.84 ±0.06 M±SD) was substantially higher than 1.5, suggesting that anticorrelation mechanisms may influence the diurnal long-term regulation of blood pressure.

Original languageEnglish
Title of host publicationComputing in Cardiology
Pages593-596
Number of pages4
Volume38
Publication statusPublished - 2011
EventComputing in Cardiology 2011, CinC 2011 - Hangzhou, China
Duration: Sep 18 2011Sep 21 2011

Other

OtherComputing in Cardiology 2011, CinC 2011
CountryChina
CityHangzhou
Period9/18/119/21/11

ASJC Scopus subject areas

  • Computer Science Applications
  • Cardiology and Cardiovascular Medicine

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