Time-frequency characterization of atrial fibrillation from surface ECG based on Hilbert-Huang transform

被引：10

作者：

Huang, Z. ^{[1
]}

Chen, Y. ^{[2
]}

Pan, M. ^{[2
]}

机构：

[1] Research Institute of Biomedical Engineering, School of Info-Physics and Geomatics Engineering, Central South University, Changsha 410083, Hunan Province

[2] College of Biomedical Engineering and Instrument Science, National Biosensor Special Laboratory, Zhejiang University

来源：

Journal of Medical Engineering and Technology | 2007年 / 31卷 / 05期

关键词：

Atrial fibrillation; Hilbert-Huang transform; Instantaneous frequency; Surface ECG; Time-frequency characterization;

D O I：

10.1080/03091900601165314

中图分类号：

学科分类号：

摘要：

In this paper, based on Hilbert-Huang transform (HHT), we develop a new non-invasive time-frequency analysis method to characterize the dynamic behaviour of atrial fibrillation (AF) from surface ECG. We first extract f waves from single-lead ECG records of AF patients using PCA analysis. To capture the non-stationary behaviours of AF signals at different time scales, we use HHT to find the Hilbert spectrum and instantaneous frequency (IF) distribution of residual signals from principal component analysis. Two important feature variables, namely mean IF (mIF) and index of frequency stability over time (IS), are derived from the IF distribution, and in combination will be able to effectively discriminate two different AF types: self-terminating and non-terminating termination. The proposed AF signal decomposition and analysis method will help us efficiently differentiate individual AF patients, advance our understanding of AF mechanisms, and provide useful guidelines for improving administration of AF patients, especially paroxysmal AF. © 2007 Informa UK Ltd.

引用

页码：381 / 389

页数：8

共 18 条

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