Correlation between power-law behavior and Poincare plots of heart rate variability in congestive heart failure patients

G. D'Addio, G. D. Pinna, R. Maestri, D. Acanfora, C. Picone, G. Furgi, F. Rengo

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

Abstract

Nonlinear analysis of HRV, and particularly 1/f method and Poincare plots, has been recognized to provide valuable information for the prognostic stratification in cardiac patients. We analyzed 24 h ECG Holter recordings in 75 CHF patients to assess 1) the correlation between power-law and both qualitative and quantitative indexes of abnormality of Poincare plots, and 2) the association between the two nonlinear indexes and hemodynamic function, exercise performance and neurohumoral activation. We found a clear association between 1/f slope and the visually-classified shape of Poincare patterns but just a poor correlation between 1/f indexes and morphological parameters of Poincare maps. Moreover 3-D Poincare parameters showed to be independently associated to plasma norepinephrine level, indicating that they `contain' the information of 1/f indexes and better explain norepinephrine variability.

Original languageEnglish
Title of host publicationComputers in Cardiology
PublisherIEEE
Pages611-614
Number of pages4
Publication statusPublished - 1999
EventThe 26th Annual Meeting: Computers in Cardiology 1999 - Hannover, Ger
Duration: Sep 26 1999Sep 29 1999

Other

OtherThe 26th Annual Meeting: Computers in Cardiology 1999
CityHannover, Ger
Period9/26/999/29/99

ASJC Scopus subject areas

  • Software
  • Cardiology and Cardiovascular Medicine

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