Nonlinear analysis of heart rate and respiratory dynamics

被引：50

作者：

Hoyer, D

Schmidt, K

Bauer, R

Zwiener, U

Kohler, M

Luthke, B

Eiselt, M

机构：

[1] Inst. for Physical High Technology, Friedrich Schiller University

[2] Institute of Pathophysiology, Jena

[3] Institute of Pathophysiology, Friedrich Schiller University, Jena

[4] Institute of Physical Technology, Jena

[5] Microsystem Department, Inst. of Physical High Technology, Jena

[6] Friedrich Schiller University, Jena

[7] Inst. for Pathological Physiology, Friedrich Schiller University

来源：

IEEE ENGINEERING IN MEDICINE AND BIOLOGY MAGAZINE | 1997年 / 16卷 / 01期

关键词：

D O I：

10.1109/51.566150

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

This paper introduces a concept of nonlinear analysis of heart rate and respiratory dynamics that may improve the understanding of the underlying physiological processes of the autonomic nervous system (ANS), in comparison with the conventional linear analysis. Since heart-rate variability and heart, respiratory movements can be measured noninvasively, this concept may also be advantageous in diagnostic investigation of patients. Two essential aspects of the phase-space plots are investigated: the correlation dimension (CD) and the largest Lyapunov exponent (LE). The CD is a measure of the complexity of the ANS process, which characterizes the distribution of points in the phase space. The LE is a measure of the predictability of the process, which quantifies the exponential divergence of initially close state-space trajectories.

引用

页码：31 / 39

页数：9

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