COMPARISON OF RECENT METHODS OF ANALYZING HEART RATE VARIABILITY

Autor:	P. E. Bloch Thomsen, Heikki V. Huikuri, Knud Særmark, M. Moeller, U. Hintze, Meir Lewkowicz, T. Makikiallio, Jacob Levitan, H. Moelgaard
Rok vydání:	2000
Předmět:	Heart disease business.industry Applied Mathematics Healthy subjects medicine.disease Wavelet Modeling and Simulation Statistics medicine Scale dependent Detrended fluctuation analysis Heart rate variability Geometry and Topology Myocardial infarction Time series business
Zdroj:	Fractals. :315-322
ISSN:	1793-6543 0218-348X
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::83bca585187d9a370c4dd1afce7b1fbd https://doi.org/10.1142/s0218348x00000470 Zobrazit plný text záznamu