J Physiol Society Membership
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
 QUICK SEARCH:   [advanced]


     


J Physiol Volume 542, Number 2, 619-629, July 15, 2002 DOI: 10.1113/jphysiol.2001.013389
This Article
Right arrow Full Text
Right arrow Full Text (PDF)
Right arrow All Versions of this Article:
542/2/619    most recent
2001.013389v1
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Citing Articles
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Francis, D. P.
Right arrow Articles by Piepoli, M.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Francis, D. P.
Right arrow Articles by Piepoli, M.
Journal of Physiology (2002), 542.2, pp. 619-629
© Copyright 2002 The Physiological Society
DOI: 10.1113/jphysiol.2001.013389

Physiological basis of fractal complexity properties of heart rate variability in man

Darrel P. Francis *†, Keith Willson †, Panagiota Georgiadou *, Roland Wensel †, L. Ceri Davies *†, Andrew Coats *† and Massimo Piepoli *†

*National Heart & Lung Institute, London, UK and Royal Brompton Hospital, London, UK

The diagnostic and prognostic power of the fractal complexity measure 'alpha' of detrended fluctuation analysis (DFA) has remained mysterious because there has been no explanation of its meaning, particularly in relation to spectral analysis. First, we present a mathematical analysis of the meaning of alpha, in weighted power-spectral terms. Second, we test this hypothesis and observe correlations between DFA-based and weighted spectral methods of 0.97 (P < 0.0001) for alpha1 and 0.98 (P < 0.0001) for alpha2. Third, we predict mathematically that even in conventional (unweighted) spectral analysis there should be approximate counterparts to DFA, namely that alpha1 and alpha2 behave broadly in proportion to the conventional (unweighted) ratios LF/(HF + LF) and VLF/(LF + VLF), respectively, where HF is high frequency, LF is low frequency and VLF is very low frequency. Fourth, we test this hypothesis by physiologically manipulating spectral ratios in healthy volunteers in two ways. The effect of 0.1 Hz controlled breathing on LF/(HF + LF) correlates markedly with the effect on alpha1 (r = 0.73, P = 0.01); the effect on VLF/(LF + VLF) correlates markedly with that on alpha2 (r = 0.76, P < 0.01). Likewise, with voluntary periodic breathing the reduction in alpha2 correlates strongly with that in VLF/(LF + VLF) (r = 0.88, P < 0.001); effects on alpha1 and LF/(HF + LF) again clearly correlate (r = 0.73, P = 0.01). Finally, we examine published literature to identify previously undiscussed evidence of the relationship between alpha1 and LF/(HF + LF). We conclude that the alpha1 and alpha2 indices are simply frequency-weighted versions of the spectral ratios LF/(HF + LF) and VLF/(LF + VLF), respectively, multiplied by two (giving a range of 0-2). We can now understand fractal manifestations of physiological abnormalities: depressed baroreflex sensitivity right low LF/HF right low LF/(HF + LF) right low alpha1, while periodic breathing right high VLF/LF right high VLF/(LF + VLF) right high alpha2. Prognostic associations of alpha are no longer mysterious.






HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
Copyright © 2002 The Physiological Society.