Fractal dynamics of heartbeat time series of young persons with metabolic syndrome

A. Muñoz-Diosdado, A. Alonso-Martínez, L. Ramírez-Hernández, G. Martínez-Hernández

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

Many physiological systems have been in recent years quantitatively characterized using fractal analysis. We applied it to study heart variability of young subjects with metabolic syndrome (MS); we examined the RR time series (time between two R waves in ECG) with the detrended fluctuation analysis (DFA) method, the Higuchi's fractal dimension method and the multifractal analysis to detect the possible presence of heart problems. The results show that although the young persons have MS, the majority do not present alterations in the heart dynamics. However, there were cases where the fractal parameter values differed significantly from the healthy people values.

Original languageEnglish
Title of host publicationMedical Physics - Twelfth Mexican Symposium on Medical Physics
Pages58-61
Number of pages4
DOIs
StatePublished - 2012
Event12th Mexican Symposium on Medical Physics - Oaxaca, Mexico
Duration: 16 Mar 201219 Mar 2012

Publication series

NameAIP Conference Proceedings
Volume1494
ISSN (Print)0094-243X
ISSN (Electronic)1551-7616

Conference

Conference12th Mexican Symposium on Medical Physics
Country/TerritoryMexico
CityOaxaca
Period16/03/1219/03/12

Keywords

  • Multifractal analysis
  • heartbeat variability
  • metabolic syndrome
  • tachograms

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