Robust Estimation of the Scaling Exponent in Detrended Fluctuation Analysis of Beat Rate Variability

    Tutkimustuotos: ArtikkeliScientificvertaisarvioitu

    3 Sitaatiot (Scopus)
    40 Lataukset (Pure)

    Abstrakti

    Detrended fluctuation analysis is a popular method for studying fractal scaling properties in time series. The method has been successfully employed in studying heart rate variability and discovering distinct scaling properties in
    different pathological conditions. Traditionally the analysis has been performed by extracting two scaling exponents from linear fits, for short- and long-range correlations respectively. The extent of these ranges is subjective
    and the linear two-range model potentially disregards additional information present in the data.

    Here we present a method based on the Kalman smoother for obtaining a whole spectrum of scaling exponents as a function of the scale. Additionally, we present an optimization scheme to obtain data-adaptive segmentation of
    the fluctuation function into approximately linear regimes.
    The methods are parameter-free and resistant to statistical
    noise in the fluctutation function.
    We employ the methods in the analysis of the heart rate
    variability of patients with different heart conditions. The
    methods enhance the classification of these conditions, revealing more complex structure in the scaling exponents beyond the two-range model.
    AlkuperäiskieliEnglanti
    Sivumäärä4
    JulkaisuComputing in Cardiology
    Vuosikerta45
    TilaJulkaistu - 2018
    OKM-julkaisutyyppiA1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä

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