Correlation between Symbolic Dynamics Analysis Indexes and Neurohormonal and Functional Parameters in Heart Failure Patients

Mario Cesarelli, Maria Romano, Roberto Maestri, Maria Teresa La Rovere, Paolo Bifulco, Giovanni D'Addio

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

Abstract

Heart failure (HF) is a cardiac disease associated with prominent alterations in the autonomic control of the cardiovascular system and high neurohormonal activation levels. Useful assessment tools may be heart rate variability (HRV) analysis and/or the study of norepinephrine (NPE) level. Nevertheless, traditional techniques of HRV analysis have proved not sufficient and the second is an invasive measurement. In this work the correlation between a parameter (kurtosis-K) computed by an emerging nonlinear technique, the symbolic dynamics analysis, and neurohormonal and functional parameters has been investigated. Results obtained show an interesting relationship between K and both ejection fraction and NPE. In particular, higher K values are associated to increasing NPE levels This finding could be useful for highlighting changes in HF patients otherwise detectable only with invasive examinations.

Original languageEnglish
Title of host publicationStudies in Health Technology and Informatics
PublisherIOS Press
Pages516-520
Number of pages5
Volume205
ISBN (Print)9781614994312
DOIs
Publication statusPublished - 2014
Event25th European Medical Informatics Conference, MIE 2014 - Istanbul, Turkey
Duration: Aug 31 2014Sep 3 2014

Publication series

NameStudies in Health Technology and Informatics
Volume205
ISSN (Print)09269630
ISSN (Electronic)18798365

Other

Other25th European Medical Informatics Conference, MIE 2014
CountryTurkey
CityIstanbul
Period8/31/149/3/14

Keywords

  • Heart failure
  • HRV
  • norepinephrine
  • symbolic dynamivs analysis

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management
  • Medicine(all)

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