Morphological modeling of cardiac signals based on signal decomposition

被引：43

作者：

Roonizi, Ebadollah Kheirati ^{[1
]}

Sameni, Reza ^{[1
]}

机构：

[1] Shiraz Univ, Sch Elect & Comp Engn, Shiraz, Iran

来源：

COMPUTERS IN BIOLOGY AND MEDICINE | 2013年 / 43卷 / 10期

关键词：

Morphological modeling; Signal decomposition; Electrocardiogram modeling; Electrocardiogram compression; ECG; REPRESENTATION; FRAMEWORK;

D O I：

10.1016/j.compbiomed.2013.06.017

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

In this paper a general framework is presented for morphological modeling of cardiac signals from a signal decomposition perspective. General properties of a desired morphological model are presented and special cases of the model are studied in detail. The presented approach is studied for modeling the morphology of electrocardiogram (ECG) signals. Specifically, three types of ECG modeling techniques, including polynomial spline models, sinusoidal model and a model previously presented by McSharry et al., are studied within this framework. The proposed method is applied to datasets from the PhysioNet ECG database for compression and modeling of normal and abnormal ECG signals. Quantitative and qualitative results of these applications are also presented and discussed. (C) 2013 Elsevier Ltd. All rights reserved.

引用

页码：1453 / 1461

页数：9

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