Title :
Classification method of QRS waves by fractal dimension
Author_Institution :
Dept. of Biomed. Eng., Capital Univ. of Med. Sci., Beijing, China
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;
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
Print_ISBN :
0-7803-5674-8
DOI :
10.1109/IEMBS.1999.804061
