Detection of QRS complexes based on biorthogonal spline wavelet

Xiuyu Zheng; Linlin Shen; Zhen Li; Zhen Ji

doi:10.1109/ISISE.2008.61

Detection of QRS complexes based on biorthogonal spline wavelet

Xiuyu Zheng, Linlin Shen, Zhen Li, Zhen Ji

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

15 Citations (Scopus)

Abstract

Biorthogonal spline wavelet is used to detect the QRS complex of ECG signal. Mallat algorithm is applied in the decomposition of ECG signal by using the equivalent filter of a biorthogonal spline wavelet. Lipschitz exponent is introduced to investigate the relationship between the signal singularity (R Peak) and the zero-crossing point of the modulus maximum pair of the signal's wavelet transform. Adaptive threshold, refractory period and expiating are applied to improve the anti-interference performance. Experimental results demonstrated that this method is robust against time varying characteristics of QRS complex and noise. A correct detection rate of 99.905% has been achieved when the MIT-BIH Arrhythmia Database is used to test the proposed QRS complex detection algorithm.

Original language	English
Title of host publication	2008 International Symposium on Information Science and Engineering, ISISE 2008
Pages	502-506
Number of pages	5
DOIs	https://doi.org/10.1109/ISISE.2008.61
Publication status	Published - 2008
Externally published	Yes
Event	2008 International Symposium on Information Science and Engineering, ISISE 2008 - Shanghai, China Duration: 20 Dec 2008 → 22 Dec 2008

Publication series

Name	2008 International Symposium on Information Science and Engineering, ISISE 2008
Volume	2

Conference

Conference	2008 International Symposium on Information Science and Engineering, ISISE 2008
Country/Territory	China
City	Shanghai
Period	20/12/08 → 22/12/08

ASJC Scopus subject areas

Information Systems
Software

Access to Document

10.1109/ISISE.2008.61

Cite this

@inproceedings{13a48b4878a640dfb5839271f0bc47f0,

title = "Detection of QRS complexes based on biorthogonal spline wavelet",

abstract = "Biorthogonal spline wavelet is used to detect the QRS complex of ECG signal. Mallat algorithm is applied in the decomposition of ECG signal by using the equivalent filter of a biorthogonal spline wavelet. Lipschitz exponent is introduced to investigate the relationship between the signal singularity (R Peak) and the zero-crossing point of the modulus maximum pair of the signal's wavelet transform. Adaptive threshold, refractory period and expiating are applied to improve the anti-interference performance. Experimental results demonstrated that this method is robust against time varying characteristics of QRS complex and noise. A correct detection rate of 99.905% has been achieved when the MIT-BIH Arrhythmia Database is used to test the proposed QRS complex detection algorithm.",

author = "Xiuyu Zheng and Linlin Shen and Zhen Li and Zhen Ji",

year = "2008",

doi = "10.1109/ISISE.2008.61",

language = "English",

isbn = "9780769534947",

series = "2008 International Symposium on Information Science and Engineering, ISISE 2008",

pages = "502--506",

booktitle = "2008 International Symposium on Information Science and Engineering, ISISE 2008",

note = "2008 International Symposium on Information Science and Engineering, ISISE 2008 ; Conference date: 20-12-2008 Through 22-12-2008",

}

Zheng, X, Shen, L, Li, Z & Ji, Z 2008, Detection of QRS complexes based on biorthogonal spline wavelet. in 2008 International Symposium on Information Science and Engineering, ISISE 2008., 4732443, 2008 International Symposium on Information Science and Engineering, ISISE 2008, vol. 2, pp. 502-506, 2008 International Symposium on Information Science and Engineering, ISISE 2008, Shanghai, China, 20/12/08. https://doi.org/10.1109/ISISE.2008.61

Detection of QRS complexes based on biorthogonal spline wavelet. / Zheng, Xiuyu; Shen, Linlin; Li, Zhen et al.
2008 International Symposium on Information Science and Engineering, ISISE 2008. 2008. p. 502-506 4732443 (2008 International Symposium on Information Science and Engineering, ISISE 2008; Vol. 2).

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Detection of QRS complexes based on biorthogonal spline wavelet

AU - Zheng, Xiuyu

AU - Shen, Linlin

AU - Li, Zhen

AU - Ji, Zhen

PY - 2008

Y1 - 2008

N2 - Biorthogonal spline wavelet is used to detect the QRS complex of ECG signal. Mallat algorithm is applied in the decomposition of ECG signal by using the equivalent filter of a biorthogonal spline wavelet. Lipschitz exponent is introduced to investigate the relationship between the signal singularity (R Peak) and the zero-crossing point of the modulus maximum pair of the signal's wavelet transform. Adaptive threshold, refractory period and expiating are applied to improve the anti-interference performance. Experimental results demonstrated that this method is robust against time varying characteristics of QRS complex and noise. A correct detection rate of 99.905% has been achieved when the MIT-BIH Arrhythmia Database is used to test the proposed QRS complex detection algorithm.

AB - Biorthogonal spline wavelet is used to detect the QRS complex of ECG signal. Mallat algorithm is applied in the decomposition of ECG signal by using the equivalent filter of a biorthogonal spline wavelet. Lipschitz exponent is introduced to investigate the relationship between the signal singularity (R Peak) and the zero-crossing point of the modulus maximum pair of the signal's wavelet transform. Adaptive threshold, refractory period and expiating are applied to improve the anti-interference performance. Experimental results demonstrated that this method is robust against time varying characteristics of QRS complex and noise. A correct detection rate of 99.905% has been achieved when the MIT-BIH Arrhythmia Database is used to test the proposed QRS complex detection algorithm.

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U2 - 10.1109/ISISE.2008.61

DO - 10.1109/ISISE.2008.61

M3 - Conference contribution

AN - SCOPUS:62649158926

SN - 9780769534947

T3 - 2008 International Symposium on Information Science and Engineering, ISISE 2008

SP - 502

EP - 506

BT - 2008 International Symposium on Information Science and Engineering, ISISE 2008

T2 - 2008 International Symposium on Information Science and Engineering, ISISE 2008

Y2 - 20 December 2008 through 22 December 2008

ER -

Detection of QRS complexes based on biorthogonal spline wavelet

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ASJC Scopus subject areas

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