Analysis of physiological time series using wavelet transforms

被引：38

作者：

Figliola, A

Serrano, E

机构：

[1] Instituto de Cálculo, Ciudad Universitaria, Buenos Aires

[2] Departamento de Matematica, Ciudad Universitaria, Buenos Aires

[3] Buenos Aires University, Department of Mathematics

[4] Instituto de Cálculo, Pab. II Ciudad Universitaria

来源：

IEEE ENGINEERING IN MEDICINE AND BIOLOGY MAGAZINE | 1997年 / 16卷 / 03期

关键词：

D O I：

10.1109/51.585521

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

A method of time-series analysis is presented using wavelet transforms to analyzed heart dynamics in sleep apneic patient. The difficulty in applying this analysis is that the phenomenon is nonstationary and contaminated with noise. The discrete wavelet transform detects signal changes by observing changes in the energy spectrum of the series. In all pre-apnea states, the dynamic system has higher information cost function (ICF) values than in the apnea condition. The system has lower ICF coefficients when the apnea crisis appears.

引用

页码：74 / 79

页数：6

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