Detection of ECG characteristic points using Biorthogonal Spline Wavelet

Author

Pan, Tao ; Zhang, Lei ; Zhou, Shumin

Author_Institution

Shenzhen Institutes of Adv. Technol., Chinese Acad. of Sci., Shenzhen, China

Volume

2

fYear

2010

fDate

16-18 Oct. 2010

Firstpage

858

Lastpage

863

Abstract

An algorithm based on Biorthogonal Spline Wavelet is developed for detecting ECG characters points. In the algorithm, the Biorthogonal Spline Wavelet Transform of the ECG signal is first calculated using Mallat Algorithm. And then the R-peak is located by finding the best modulus maximum pair of the wavelet transform in the scale of 2³. A more robust method to find the modulus maximum pair is put forward in this paper. The methods finding the onsets and offsets of QRS complexes, P and T waves are also provided. The detection rate of QRS complexes for the algorithm is above 99.7% for MIT/BIH database and the processing time is considerably little.

Keywords

electrocardiography; medical signal detection; medical signal processing; splines (mathematics); wavelet transforms; ECG; MIT/BIH database; Mallat algorithm; QRS complex; biorthogonal spline wavelet transform; modulus maximum pair; Digital filters; Electrocardiography; Filter bank; Spline; Wavelet analysis; Wavelet transforms; ECG detection; Mallat algorithm; Wavelet transform;

fLanguage

English

Publisher

ieee

Conference_Titel

Biomedical Engineering and Informatics (BMEI), 2010 3rd International Conference on

Conference_Location

Yantai

Print_ISBN

978-1-4244-6495-1

Type

conf

DOI

10.1109/BMEI.2010.5639905

Filename

5639905