Nonlinear analysis of heart rate variability

被引：6

作者：

Uzun, IS ^{[1
]}

Asyali, MH ^{[1
]}

Celebi, G ^{[1
]}

Pehlivan, M ^{[1
]}

机构：

[1] Ege Univ, Fac Engn, Dept Elect & Elect Engn, Izmir, Turkey

来源：

PROCEEDINGS OF THE 23RD ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-4: BUILDING NEW BRIDGES AT THE FRONTIERS OF ENGINEERING AND MEDICINE | 2001年 / 23卷

关键词：

HRV; correlation dimension; Lyapunov exponent; surrogate data analysis;

D O I：

10.1109/IEMBS.2001.1020513

中图分类号：

R5 [内科学];

学科分类号：

1002 ; 100201 ;

摘要：

This article reports nonlinear analysis of ECG R-R interval time-series obtained from healthy individuals and some cardiac patients. The R-R interval time-series data from 6 healthy individuals and 3 cardiac patients were transformed into multidimensional phase-space vectors by time-delay embedding. The largest Lyapunov exponent and correlation dimension (CD) were calculated. Nonlinearity was tested by comparing the CDs obtained from the original data with those obtained from surrogate data sets. Results are discussed with reference to results obtained in previous studies.

引用

页码：1581 / 1584

页数：4

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