Literature DB >> 9893718

Chaos in the cardiovascular system: an update.

C D Wagner1, P B Persson.   

Abstract

Rhythmic changes of blood pressure, heart rate, and other cardiovascular measures have drawn the attention of several investigators, since these oscillations can shed light onto the activity of the underlying control network. The overwhelming proportion of circulatory variations, however, are not linear, i.e., they do not consist of perfectly rhythmic components. Thus, these fluctuations are more adequately analysed by non-linear techniques, most of which are adopted from chaos theory. A spotlight issue of 'Cardiovascular Research' (Vol. 31, 1996), focused on chaos in the cardiovascular system. This current review outlines today's understanding of this field by presenting the major discoveries and developments which have taken place since then.

Mesh:

Year:  1998        PMID: 9893718     DOI: 10.1016/s0008-6363(98)00251-x

Source DB:  PubMed          Journal:  Cardiovasc Res        ISSN: 0008-6363            Impact factor:   10.787


  19 in total

Review 1.  Nonlinear dynamics and chaos theory: concepts and applications relevant to pharmacodynamics.

Authors:  A Dokoumetzidis; A Iliadis; P Macheras
Journal:  Pharm Res       Date:  2001-04       Impact factor: 4.200

2.  Dynamic cerebral autoregulation assessment using chaotic analysis in diabetic autonomic neuropathy.

Authors:  Ben-Yi Liau; Shoou-Jeng Yeh; Chuang-Chien Chiu; Yu-Chou Tsai
Journal:  Med Biol Eng Comput       Date:  2007-09-14       Impact factor: 2.602

Review 3.  Heart rate variability in athletes.

Authors:  André E Aubert; Bert Seps; Frank Beckers
Journal:  Sports Med       Date:  2003       Impact factor: 11.136

4.  Assessing the complexity of short-term heartbeat interval series by distribution entropy.

Authors:  Peng Li; Chengyu Liu; Ke Li; Dingchang Zheng; Changchun Liu; Yinglong Hou
Journal:  Med Biol Eng Comput       Date:  2014-10-29       Impact factor: 2.602

5.  Testing pattern synchronization in coupled systems through different entropy-based measures.

Authors:  Peng Li; Chengyu Liu; Xinpei Wang; Liping Li; Lei Yang; Yongcai Chen; Changchun Liu
Journal:  Med Biol Eng Comput       Date:  2013-01-22       Impact factor: 2.602

6.  Correlation dimension analysis of Doppler signals in children with aortic valve disorders.

Authors:  Derya Yılmaz; N Fatma Güler
Journal:  J Med Syst       Date:  2009-05-15       Impact factor: 4.460

7.  Coupling between intrinsic prefrontal HbO2 and central EEG beta power oscillations in the resting brain.

Authors:  Gert Pfurtscheller; Ian Daly; Günther Bauernfeind; Gernot R Müller-Putz
Journal:  PLoS One       Date:  2012-08-24       Impact factor: 3.240

Review 8.  Nonlinear systems in medicine.

Authors:  John P Higgins
Journal:  Yale J Biol Med       Date:  2002 Sep-Dec

9.  Comparison of linear-stochastic and nonlinear-deterministic algorithms in the analysis of 15-minute clinical ECGs to predict risk of arrhythmic death.

Authors:  James E Skinner; Michael Meyer; Brian A Nester; Una Geary; Pamela Taggart; Antoinette Mangione; George Ramalanjaona; Carol Terregino; William C Dalsey
Journal:  Ther Clin Risk Manag       Date:  2009-08-20       Impact factor: 2.423

10.  Risk stratification for arrhythmic death in an emergency department cohort: a new method of nonlinear PD2i analysis of the ECG.

Authors:  James E Skinner; Michael Meyer; William C Dalsey; Brian A Nester; George Ramalanjaona; Brian J O'Neil; Antoinette Mangione; Carol Terregino; Abel Moreyra; Daniel N Weiss; Jerry M Anchin; Una Geary; Pamela Taggart
Journal:  Ther Clin Risk Manag       Date:  2008-08       Impact factor: 2.423

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.