Comparison of recent methods of analyzing heart rate variability

K. Saermark, M. Moeller, U. Hintze, H. Moelgaard, P. E. Bloch Thomsen, H. Huikuri, T. Makikiallio, J. Levitan, M. Lewkowicz

Research output: Contribution to journalArticlepeer-review

18 Scopus citations


We compare three recently applied methods for analyzing heart rate variability: detrended fluctuation analysis (DFA), multiresolution wavelet analysis (WAV) and detrended time series analysis (DTS). In the comparison, both scale-dependent and scale-independent measures are considered. In agreement with recent results by Thurner et al.,9 we conclude that scale-dependent measures are well suited to separate healthy subjects from patients with heart disease. However, as regards the use in Kaplan-Meier cumulative survival curves, scale-independent measures (generally slope values) clearly outperform scale dependent measures (generally rms values). The comparison is mainly based on a database containing recordings from 428 patients with heart disease (myocardial infarct) and on a database containing 105 healthy subjects and 11 heart patients.

Original languageEnglish
Pages (from-to)315-322
Number of pages8
Issue number4
StatePublished - Dec 2000


Dive into the research topics of 'Comparison of recent methods of analyzing heart rate variability'. Together they form a unique fingerprint.

Cite this