Classification method of QRS waves by fractal dimension

Author

Li, Haiyun

Author_Institution

Dept. of Biomed. Eng., Capital Univ. of Med. Sci., Beijing, China

Volume

2

fYear

1999

fDate

36434

Abstract

Discusses the theoretical analysis of multiresolution ECG decomposition and expounds the calculation of the fractal dimension. Based on Mallat´s multiresolution analysis and fractal dimension of the series, a new approach to classify the QRS complex is provided. The QRS complex is decomposed with a quadratic spline wavelet. At scale 3, the fractal dimension of the decomposed series is calculated, the values of modulus maxima of wavelet transform and the fractal dimension are used as discriminatory criteria to classify QRS. The method is simple and has high anti-noise ability, with the detection rate of PVB reaching 99.5% by the MIT database test

Keywords

electrocardiography; fractals; medical signal processing; signal classification; signal resolution; splines (mathematics); wavelet transforms; MIT database test; PVB detection rate; QRS complex; QRS waves; classification method; decomposed series; discriminatory criteria; fractal dimension; high anti-noise ability; modulus maxima; multiresolution ECG decomposition; quadratic spline wavelet; wavelet transform; Biomedical engineering; Databases; Electrocardiography; Fractals; Frequency; Medical diagnostic imaging; Signal resolution; Testing; Wavelet analysis; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

[Engineering in Medicine and Biology, 1999. 21st Annual Conference and the 1999 Annual Fall Meetring of the Biomedical Engineering Society] BMES/EMBS Conference, 1999. Proceedings of the First Joint

Conference_Location

Atlanta, GA

ISSN

1094-687X

Print_ISBN

0-7803-5674-8

Type

conf

DOI

10.1109/IEMBS.1999.804061

Filename

804061