QRS complex detection using Empirical Mode Decomposition

被引：100

作者：

Slimane, Zine-Eddine Hadj ^{[1
]}

Nait-Ali, Amine ^{[2
]}

机构：

[1] Univ Abou Bekr Belkaid Tlemcen, Fac Sci Ingenieur, Dept Elect Biomed, Lab Genie Biomed GBM, Tilimsen 13000, Algeria

[2] Univ Paris 12, LISSI, EA 3956, F-94010 Creteil, France

来源：

DIGITAL SIGNAL PROCESSING | 2010年 / 20卷 / 04期

关键词：

ECG signal; QRS detection; Empirical Modal Decomposition; Nonlinear transform; Integration; DETECTION ALGORITHM; TIME;

D O I：

10.1016/j.dsp.2009.10.017

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In this paper, we present a new Empirical Mode Decomposition based algorithm for the purpose of QRS complex detection. This algorithm requires the following stages: a high-pass filter, signal Empirical Mode Decomposition, a nonlinear transform, an integration and finally, a low-pass filter is used. In order to evaluate the proposed technique, the well known ECG MIT-BIH database has been used. Moreover it is compared to a reference technique, namely "Christov's" detection method. As it will be shown later, the proposed algorithm allows to achieve high detection performances, described by means both the sensitivity and the specificity parameters. (C) 2009 Elsevier Inc. All rights reserved.

引用

页码：1221 / 1228

页数：8

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