Exploiting correlation of ECG with certain EMD functions for discrimination of ventricular fibrillation

被引：22

作者：

Abu Anas, Emran Mohammad ^{[1
]}

Lee, Soo Yeol ^{[2
]}

Hasan, Md Kamrul ^{[1
,2
]}

机构：

[1] Bangladesh Univ Engn & Technol, Dept Elect & Elect Engn, Dhaka 1000, Bangladesh

[2] Kyung Hee Univ, Dept Biomed Engn, Kyungki 446701, South Korea

来源：

COMPUTERS IN BIOLOGY AND MEDICINE | 2011年 / 41卷 / 02期

关键词：

ECG arrhythmia; Ventricular fibrillation; Empirical mode decomposition; Intrinsic mode functions; Correlation; EMPIRICAL MODE DECOMPOSITION; DETECTION ALGORITHM; FREQUENCY-DOMAIN; SURFACE ECG; TIME; TACHYCARDIA; ELECTROGRAMS; RECOGNITION; ARRHYTHMIAS;

D O I：

10.1016/j.compbiomed.2010.12.005

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

Ventricular fibrillation (VF) is a life-threatening cardiac arrhythmia. A high impulse current is required in this stage to save lives. In this paper, an empirical mode decomposition (EMD) based algorithm is presented to separate VF from other arrhythmias. The characteristics of the VF signal has high degree of similarity with the intrinsic mode functions (IMFs) of the EMD decomposition in comparison to other ECG pathologies. This high correlation between the VF signal and its certain IMFs is exploited to separate VF from other cardiac pathologies. Reliable databases are used to verify effectiveness of our algorithm and the results demonstrate superiority of our proposed technique compared to other well-known techniques of VF discrimination. (C) 2011 Elsevier Ltd. All rights reserved.

引用

页码：110 / 114

页数：5

共 24 条

[1]

Amann A, 2005, COMPUT CARDIOL, V32, P559

[2] Detecting ventricular fibrillation by time-delay methods [J].

Amann, Anton ;

Tratnig, Robert ;

Unterkofler, Karl .

IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2007, 54 (01) :174-177

[3] A simple time domain algorithm for the detection of ventricular fibrillation in electrocardiogram [J].

Arafat, Muhammad Abdullah ;

Chowdhury, Abdul Wadud ;

Hasan, Md Kamrul .

SIGNAL IMAGE AND VIDEO PROCESSING, 2011, 5 (01) :1-10

[4] Detection of ventricular fibrillation using empirical mode decomposition and Bayes decision theory [J].

Arafat, Muhammad Abdullah ;

Sieed, Jubair ;

Hasan, Md. Kamrul .

COMPUTERS IN BIOLOGY AND MEDICINE, 2009, 39 (11) :1051-1057

[5] ALGORITHMIC SEQUENTIAL DECISION-MAKING IN THE FREQUENCY-DOMAIN FOR LIFE THREATENING VENTRICULAR ARRHYTHMIAS AND IMITATIVE ARTIFACTS - A DIAGNOSTIC SYSTEM [J].

BARRO, S ;

RUIZ, R ;

CABELLO, D ;

MIRA, J .

JOURNAL OF BIOMEDICAL ENGINEERING, 1989, 11 (04) :320-328

[6] VENTRICULAR-FIBRILLATION DETECTION BY A REGRESSION TEST ON THE AUTOCORRELATION FUNCTION [J].

CHEN, S ;

THAKOR, NV ;

MOWER, MM .

MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING, 1987, 25 (03) :241-249

[7] A robust sequential detection algorithm for cardiac arrhythmia classification [J].

Chen, SW ;

Clarkson, PM ;

Fan, Q .

IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 1996, 43 (11) :1120-1125

[8] COMPARISON OF 4 TECHNIQUES FOR RECOGNITION OF VENTRICULAR-FIBRILLATION FROM THE SURFACE ECG [J].

CLAYTON, RH ;

MURRAY, A ;

CAMPBELL, RWF .

MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING, 1993, 31 (02) :111-117

[9]

HEIJ S, 1987, COMPUT CARDIOL, P707

[10] The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis [J].

Huang, NE ;

Shen, Z ;

Long, SR ;

Wu, MLC ;

Shih, HH ;

Zheng, QN ;

Yen, NC ;

Tung, CC ;

Liu, HH .

PROCEEDINGS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES, 1998, 454 (1971) :903-995

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