Development of a Concept Demonstrator for QRS Complex Detection using Combined Algorithms

被引：0

作者：

Ahmad, Ida Laila binti ^{[1
]}

Mohamed, Masnani binti ^{[1
]}

Ab Ghani, Norul Ain binti ^{[1
]}

机构：

[1] Univ Tun Hussein Onn Malaysia UTHM, Dept Elect Engn, Batu Pahat, Johor, Malaysia

来源：

2012 IEEE EMBS CONFERENCE ON BIOMEDICAL ENGINEERING AND SCIENCES (IECBES) | 2012年

关键词：

component; ECG; QRS Complex; Hillbert transform; Wavelet; Pan-Tompkins algorithm;

D O I：

暂无

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

This paper describes a study on combined algorithms used for classification of QRS Complex in ECG signals. The proposed algorithm/detector uses Hillbert transform on a Wavelet base for the pre-processing stage. Both Hillbert transform and Wavelet base known to be superior in reducing unwanted noise resembles in ECG signal such as baseline wander and muscle noise. In addition, the Pan-Tompkins algorithm was employed as the QRS peak detection. A testing against MIT-BIH Arrhythmias Database results in a reliable detection error rate (DER) of 98.7%. It can be concluded that, the proposed method offers significant noise reduction in pre-processing stage and still produce a reliable results even with the contaminated ECG signal.

引用

页数：5

共 18 条

[1] ECG noise filtering using wavelets with soft-thresholding methods [J].

Agante, PM ;

de Sá, JPM .

COMPUTERS IN CARDIOLOGY 1999, VOL 26, 1999, 26 :535-538

[2]

[Anonymous], 1998, MIT BIH DAT DISTR

[3]

Arzeno N. M, 2006, P 28 IEEE EMBS ANN I

[4]

*ASS ADV MED INSTR, 1998, AM NAT STAND AMB EL

[5] A new QRS detection algorithm based on the Hilbert transform [J].

Benitez, DS ;

Gaydecki, PA ;

Zaidi, A ;

Fitzpatrick, AP .

COMPUTERS IN CARDIOLOGY 2000, VOL 27, 2000, 27 :379-382

[6]

de Oliveira FI, 2004, MACHINE LEARN SIGN P, P481

[7]

Debbabi N, 2010, IEEE 1 5 COMM MOB NE

[8]

Dinh HAN, 2001, P ANN INT IEEE EMBS, V23, P1883, DOI [10.1109/IEMBS.2001.1020593, 10.1007/BF03178366]

[9]

Faezipour Miad, IEEE NIH LIF SCI SYS

[10] The principles of software QRS detection [J].

Köhler, BU ;

Hennig, C ;

Orglmeister, R .

IEEE ENGINEERING IN MEDICINE AND BIOLOGY MAGAZINE, 2002, 21 (01) :42-57

← 1 2 →