Prognostic value of Poincarè plot indexes in chronic heart failure patients

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


The identification of prognostic indexes in chronic heart failure patients represents a challenging task in the analysis of HRV. To this purpose we assessed the prognostic value of novel computer-generated quantitative descriptors of Poincarè plots (PPlots) of HRV in a case-control study over 13 CHF patients who experienced cardiac death and 13 matched CHF controls. All subjects had a Holter recording with computation of SDNN and PPlots analysis. While visual classification of PPlots and SDNN did not significantly differentiate controls from deceased patients, a highly significant association with outcome was found for quantitative PPlots indexes. This preliminary study shows that automatic quantification of PPlots allows a better discrimination between patients at risk of cardiac event and controls than visual classification of plot features and time-domain HRV.

Original languageEnglish
Title of host publicationComputers in Cardiology
Number of pages4
Publication statusPublished - 2001
EventComputer in Cardiology 2001 - Rotterdam, Netherlands
Duration: Sep 23 2001Sep 26 2001


OtherComputer in Cardiology 2001

ASJC Scopus subject areas

  • Software
  • Cardiology and Cardiovascular Medicine


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