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

Technical University of Denmark
University of Southern Denmark
Aarhus University
Bar-Ilan University
Ariel University

Research output: Contribution to journal › Article › peer-review

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
Externally published	Yes

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title = "Comparison of recent methods of analyzing heart rate variability",

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.",

author = "K. Saermark and M. Moeller and U. Hintze and H. Moelgaard and \{Bloch Thomsen\}, \{P. E.\} and H. Huikuri and T. Makikiallio and J. Levitan and M. Lewkowicz",

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month = dec,

doi = "10.1142/S0218348X00000470",

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T1 - Comparison of recent methods of analyzing heart rate variability

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

Y1 - 2000/12

N2 - 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.

AB - 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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Comparison of recent methods of analyzing heart rate variability

Abstract

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