Determinism in bivariate cardiorespiratory phase-space sets

被引：17

作者：

Hoyer, D ^{[1
]}

Kaplan, D ^{[1
]}

Schaff, F ^{[1
]}

Eiselt, M ^{[1
]}

机构：

[1] Univ Jena, Inst Pathophysiol, D-07740 Jena, Germany

来源：

IEEE ENGINEERING IN MEDICINE AND BIOLOGY MAGAZINE | 1998年 / 17卷 / 06期

关键词：

D O I：

10.1109/51.731317

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

The predictability of the flow of bivariate cardiorespiratory data was examined by means of the delta-epsilon method. This method was originally developed for the analysis of univariate time series to detect the deterministic aspects of dynamics. The approach was extended to detect the coupling between respiratory movements and heart-rate fluctuations. The validity of this approach is illustrated by the analysis of simulated coupled oscillators.

引用

页码：26 / 31

页数：6

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