Title :
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
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;
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
DOI :
10.1109/ISSPIT.2007.4458092
