Detection of QRS complexes based on biorthogonal spline wavelet

Xiuyu Zheng, Linlin Shen, Zhen Li, Zhen Ji

Research output: Chapter in Book/Conference proceedingConference contributionpeer-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 languageEnglish
Title of host publication2008 International Symposium on Information Science and Engineering, ISISE 2008
Pages502-506
Number of pages5
DOIs
Publication statusPublished - 2008
Externally publishedYes
Event2008 International Symposium on Information Science and Engineering, ISISE 2008 - Shanghai, China
Duration: 20 Dec 200822 Dec 2008

Publication series

Name2008 International Symposium on Information Science and Engineering, ISISE 2008
Volume2

Conference

Conference2008 International Symposium on Information Science and Engineering, ISISE 2008
Country/TerritoryChina
CityShanghai
Period20/12/0822/12/08

ASJC Scopus subject areas

  • Information Systems
  • Software

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