A genetic algorithm to compress electrocardiograms using parameterized wavelets

Author

Silveira, Rosanna M R ; Agulhari, Cristiano M. ; Bonatti, Ivanil S. ; Peres, Pedro L D

Author_Institution

Nat. Inst. of Telecommun., Santa Rita do Sapucai

fYear

2007

fDate

15-18 Dec. 2007

Firstpage

402

Lastpage

407

Abstract

A compression method, based on the choice of a wavelet that matches the electrocardiogram signal to be compressed, is proposed in this paper. The coefficients of the scaling filter that minimize the distortion of the compressed signal are used to determine the wavelet. The choice of the scaling filter is done by the parametrization of the scaling coefficients in a way that all the constraints are satisfied for any set of parameters. A genetic algorithm is used to determine the parameters that minimize the distortion of the compressed signal. The performance of the proposed algorithm is analyzed and compared with the compression using the classical wavelet Db3.

Keywords

electrocardiography; genetic algorithms; medical signal processing; wavelet transforms; electrocardiograms; genetic algorithm; parameterized wavelets; parametrization; scaling coefficients; scaling filter; signal compression; signal distortion; Compression algorithms; Data compression; Distortion; Electrocardiography; Filters; Genetic algorithms; Signal processing; Signal processing algorithms; Signal resolution; Wavelet analysis; ECG; data compression; electrocardiogram signals; wavelet and genetic algorithm;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing and Information Technology, 2007 IEEE International Symposium on

Conference_Location

Giza

Print_ISBN

978-1-4244-1834-3

Electronic_ISBN

978-1-4244-1835-0

Type

conf

DOI

10.1109/ISSPIT.2007.4458092

Filename

4458092