A GENERAL APPROACH FOR DYNAMIC MODELING OF PHYSIOLOGICAL TIME SERIES

被引：0

作者：

Pfeifer, M. ^{[1
]}

Lenis, G. ^{[1
]}

Doessel, O. ^{[1
]}

机构：

[1] Karlsruhe Inst Technol, Inst Biomed Engn, Karlsruhe, Germany

来源：

BIOMEDICAL ENGINEERING-BIOMEDIZINISCHE TECHNIK | 2013年 / 58卷

关键词：

Time Series; Modeling; State Space; Heart Rate; ARMA;

D O I：

10.1515/bmt-2013-4169

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

Dynamic modeling of physiological time series represents an auspicious approach in the arena of biomedical signal processing. This study illustrates a new methodology for identifying dynamic models that is based on stationary stochastic processes. The method is applied to time series extracted from the ECG. Simulations of the gained models yield physiologically plausible results.

引用

页数：2