English

Behavioral-Independent Features of Complex Heartbeat Dynamics

Statistical Mechanics 2009-11-07 v1 Disordered Systems and Neural Networks q-bio

Abstract

We test whether the complexity of cardiac interbeat interval time series is simply a consequence of the wide range of scales characterizing human behavior, especially physical activity, by analyzing data taken from healthy adult subjects under three conditions with controls: (i) a ``constant routine'' protocol where physical activity and postural changes are kept to a minimum, (ii) sympathetic blockade, and (iii) parasympathetic blockade. We find that when fluctuations in physical activity and other behavioral modifiers are minimized, a remarkable level of complexity of heartbeat dynamics remains, while for neuroautonomic blockade the multifractal complexity decreases.

Keywords

Cite

@article{arxiv.cond-mat/0106508,
  title  = {Behavioral-Independent Features of Complex Heartbeat Dynamics},
  author = {Luis A. Nunes Amaral and Plamen Ch. Ivanov and Naoko Aoyagi and Ichiro Hidaka and Shinji Tomono and Ary L. Goldberger and H. Eugene Stanley and Yoshiharu Yamamoto},
  journal= {arXiv preprint arXiv:cond-mat/0106508},
  year   = {2009}
}

Comments

4 pages with 6 eps figures. Latex file. For more details or for downloading the PDF file of the published article see http://polymer.bu.edu/~amaral/Heart.html and http://polymer.bu.edu/~amaral/Multifractal.html

R2 v1 2026-07-22T10:23:34.393Z