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

doi:10.1142/S0218348X00000470

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

Department of Physics

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18 Scopus citations

Abstract

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 language	English
Pages (from-to)	315-322
Number of pages	8
Journal	Fractals
Volume	8
Issue number	4
DOIs	https://doi.org/10.1142/S0218348X00000470
State	Published - Dec 2000

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abstract = "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.",

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AU - Saermark, K.

AU - Moeller, M.

AU - Hintze, U.

AU - Moelgaard, H.

AU - Bloch Thomsen, P. E.

AU - Huikuri, H.

AU - Makikiallio, T.

AU - Levitan, J.

AU - Lewkowicz, M.

PY - 2000/12

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Comparison of recent methods of analyzing heart rate variability

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