Influence of progressive central hypovolemia on Hölder exponent distributions of cardiac interbeat intervals.


Journal Article

The purpose of the study was to determine the dependency of the statistical properties of the R to R interval (RRI) time series on progressive central hypovolemia with lower body negative pressure. Two data-processing techniques based on wavelet transforms were used to determine the change in the nonstationary nature of the RRI time series with changing negative pressure. The results suggest that autonomic neural mechanism driving cardiac interbeat intervals during central hypovolemia go through various levels of multifractality, as determined by Hölder exponent distributions.

Full Text

Cited Authors

  • West, BJ; Scafetta, N; Cooke, WH; Balocchi, R

Published Date

  • August 2004

Published In

Volume / Issue

  • 32 / 8

Start / End Page

  • 1077 - 1087

PubMed ID

  • 15446504

Pubmed Central ID

  • 15446504

Electronic International Standard Serial Number (EISSN)

  • 1573-9686

International Standard Serial Number (ISSN)

  • 0090-6964

Digital Object Identifier (DOI)

  • 10.1114/


  • eng