Statistical analysis of fluctuations in the ECG morphology

Ronny Bartsch, Thomas Hennig, Arno Heinen, Stefan Heinrichs, Philipp Maass

Research output: Contribution to journalArticlepeer-review

21 Scopus citations

Abstract

We investigate ECG recordings of healthy subjects (H subjects) and those with heart failure (HF subjects) based on a new measure derived from the shape of the ECG signal during each heart beat. From this measure we construct sequences, called "morphograms", which are complementary to sequences of successive interbeat time intervals, commonly called "tachograms". The morphograms show long-range anticorrelations between the increments of their successive elements, analogous to the behavior found previously in the tachograms. By studying the average strength of the fluctuations of the increments on certain scales, we find that it is possible to completely separate the two groups of H and HF subjects. The separation is comparable, and in certain cases even more pronounced than that found earlier based on the tachograms.

Original languageEnglish
Pages (from-to)415-431
Number of pages17
JournalPhysica A: Statistical Mechanics and its Applications
Volume354
Issue number1-4
DOIs
StatePublished - 15 Aug 2005
Externally publishedYes

Keywords

  • Cardiac dynamics
  • Detrended fluctuation analysis
  • ECG
  • Long-range correlations
  • Scaling
  • Time series analysis

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