Literature DB >> 9435618

Spectral characteristics of ventricular response to atrial fibrillation.

J Hayano1, F Yamasaki, S Sakata, A Okada, S Mukai, T Fujinami.   

Abstract

To investigate the spectral characteristics of the fluctuation in ventricular response during atrial fibrillation (AF), R-R interval time series obtained from ambulatory electrocardiograms were analyzed in 45 patients with chronic AF and in 30 age-matched healthy subjects with normal sinus rhythm (SR). Although the 24-h R-R interval spectrum during SR showed a 1/f noise-like downsloping linear pattern when plotted as log power against log frequency, the spectrum during AF showed an angular shape with a breakpoint at a frequency of 0.005 +/- 0.002 Hz, by which the spectrum was separated into long-term and short-term components with different spectral characteristics. The short-term component showed a white noise-like flat spectrum with a spectral exponent (absolute value of the regression slope) of 0.05 +/- 0.08 and an intercept at 10(-2) Hz of 4.9 +/- 0.3 log(ms2/Hz). The long-term component had a 1/f noise-like spectrum with a spectral exponent of 1.26 +/- 0.40 and an intercept at 10(-4) Hz of 7.0 +/- 0.3 log(ms2/Hz), which did not differ significantly from those for the spectrum during SR in the same frequency range [spectral exponent, 1.36 +/- 0.06; intercept at 10(-4) Hz, 7.1 +/- 0.3 log(ms2/Hz)]. The R-R intervals during AF may be a sequence of uncorrelated values over the short term (within several minutes). Over the longer term, however, the R-R interval fluctuation shows the long-range negative correlation suggestive of underlying regulatory processes, and spectral characteristics indistinguishable from those for SR suggest that the long-term fluctuations during AF and SR may originate from similar dynamics of the cardiovascular regulatory systems.

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Year:  1997        PMID: 9435618     DOI: 10.1152/ajpheart.1997.273.6.H2811

Source DB:  PubMed          Journal:  Am J Physiol        ISSN: 0002-9513


  14 in total

1.  Determinants of a reduced heart rate variability in chronic atrial fibrillation.

Authors:  Maciej Sosnowski; Peter W Macfarlane; Michał Tendera
Journal:  Ann Noninvasive Electrocardiol       Date:  2011-10       Impact factor: 1.468

2.  Alteration of cerebrovascular haemodynamic patterns due to atrial fibrillation: an in silico investigation.

Authors:  S Scarsoglio; A Saglietto; M Anselmino; F Gaita; L Ridolfi
Journal:  J R Soc Interface       Date:  2017-04       Impact factor: 4.118

3.  Exploring total cardiac variability in healthy and pathophysiological subjects using improved refined multiscale entropy.

Authors:  Puneeta Marwaha; Ramesh Kumar Sunkaria
Journal:  Med Biol Eng Comput       Date:  2016-04-23       Impact factor: 2.602

4.  Sublimation-like Behavior of Cardiac Dynamics in Heart Failure: A Malignant Phase Transition?

Authors:  Ary L Goldberger; Teresa Henriques; Sara Mariani
Journal:  Complexity       Date:  2016-07-26       Impact factor: 2.833

5.  Exponential distribution of long heart beat intervals during atrial fibrillation and their relevance for white noise behaviour in power spectrum.

Authors:  Thomas Hennig; Philipp Maass; Junichiro Hayano; Stefan Heinrichs
Journal:  J Biol Phys       Date:  2006-12-15       Impact factor: 1.365

6.  Impact of atrial fibrillation on the cardiovascular system through a lumped-parameter approach.

Authors:  Stefania Scarsoglio; Andrea Guala; Carlo Camporeale; Luca Ridolfi
Journal:  Med Biol Eng Comput       Date:  2014-09-06       Impact factor: 2.602

7.  The effect of head-up tilt upon markers of heart rate variability in patients with atrial fibrillation.

Authors:  Hitesh C Patel; Carl Hayward; Andrew J Wardle; Lee Middleton; Alexander R Lyon; Carlo Di Mario; Tushar V Salukhe; Richard Sutton; Stuart D Rosen
Journal:  Ann Noninvasive Electrocardiol       Date:  2017-10-15       Impact factor: 1.468

8.  Multiscale Poincaré plots for visualizing the structure of heartbeat time series.

Authors:  Teresa S Henriques; Sara Mariani; Anton Burykin; Filipa Rodrigues; Tiago F Silva; Ary L Goldberger
Journal:  BMC Med Inform Decis Mak       Date:  2016-02-09       Impact factor: 2.796

9.  Different Impact of Heart Rate Variability in the Deep Cerebral and Central Hemodynamics at Rest: An in silico Investigation.

Authors:  Stefania Scarsoglio; Luca Ridolfi
Journal:  Front Neurosci       Date:  2021-05-17       Impact factor: 4.677

10.  Multiscale Entropy of the Heart Rate Variability for the Prediction of an Ischemic Stroke in Patients with Permanent Atrial Fibrillation.

Authors:  Eiichi Watanabe; Ken Kiyono; Junichiro Hayano; Yoshiharu Yamamoto; Joji Inamasu; Mayumi Yamamoto; Tomohide Ichikawa; Yoshihiro Sobue; Masehide Harada; Yukio Ozaki
Journal:  PLoS One       Date:  2015-09-01       Impact factor: 3.240

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