Literature DB >> 12636199

A direct analytical demonstration of the essential equivalence of detrended fluctuation analysis and spectral analysis of RR interval variability.

Keith Willson1, Darrel P Francis.   

Abstract

Detrended fluctuation analysis (DFA) of heart rate variability appears to yield improved prognostic power in cardiovascular disease, through calculation of the fractal scaling exponent alpha. We have recently used Taylor series approximations to propose that DFA is closely related to standard spectral analysis measures. We now present a direct analytical approach using integration and explicit expressions for the steps involved in DFA. This demonstrates clearly how DFA corresponds to standard spectral analysis.

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Year:  2003        PMID: 12636199     DOI: 10.1088/0967-3334/24/1/401

Source DB:  PubMed          Journal:  Physiol Meas        ISSN: 0967-3334            Impact factor:   2.833


  9 in total

1.  Mechanisms of intrinsic beating variability in cardiac cell cultures and model pacemaker networks.

Authors:  Julien G C Ponard; Aleksandar A Kondratyev; Jan P Kucera
Journal:  Biophys J       Date:  2007-02-26       Impact factor: 4.033

2.  Applying fractal analysis to short sets of heart rate variability data.

Authors:  M A Peña; J C Echeverría; M T García; R González-Camarena
Journal:  Med Biol Eng Comput       Date:  2009-01-29       Impact factor: 2.602

3.  A comparative analysis of spectral exponent estimation techniques for 1/f(β) processes with applications to the analysis of stride interval time series.

Authors:  Alexander Schaefer; Jennifer S Brach; Subashan Perera; Ervin Sejdić
Journal:  J Neurosci Methods       Date:  2013-11-04       Impact factor: 2.390

4.  The sensitivity of 38 heart rate variability measures to the addition of artifact in human and artificial 24-hr cardiac recordings.

Authors:  Nicolas J C Stapelberg; David L Neumann; David H K Shum; Harry McConnell; Ian Hamilton-Craig
Journal:  Ann Noninvasive Electrocardiol       Date:  2017-07-02       Impact factor: 1.468

5.  Heart Rate Variability from Wearable Photoplethysmography Systems: Implications in Sleep Studies at High Altitude.

Authors:  Paolo Castiglioni; Paolo Meriggi; Marco Di Rienzo; Carolina Lombardi; Gianfranco Parati; Andrea Faini
Journal:  Sensors (Basel)       Date:  2022-04-09       Impact factor: 3.847

6.  Revisiting detrended fluctuation analysis.

Authors:  R M Bryce; K B Sprague
Journal:  Sci Rep       Date:  2012-03-14       Impact factor: 4.379

Review 7.  Complex systems and the technology of variability analysis.

Authors:  Andrew J E Seely; Peter T Macklem
Journal:  Crit Care       Date:  2004-09-22       Impact factor: 9.097

Review 8.  Guidelines for Reporting Articles on Psychiatry and Heart rate variability (GRAPH): recommendations to advance research communication.

Authors:  D S Quintana; G A Alvares; J A J Heathers
Journal:  Transl Psychiatry       Date:  2016-05-10       Impact factor: 6.222

9.  Day and Night Changes of Cardiovascular Complexity: A Multi-Fractal Multi-Scale Analysis.

Authors:  Paolo Castiglioni; Stefano Omboni; Gianfranco Parati; Andrea Faini
Journal:  Entropy (Basel)       Date:  2020-04-18       Impact factor: 2.524

  9 in total

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