Compressing electrocardiogram signals using parameterized wavelets

Authors:
Cristiano M. Agulhari;Rosanna M. R. Silveira;Ivanil S. Bonatti
Affiliations:
FEEC/UNICAMP, Campinas - SP - Brazil;National Institute of Telecommunications -- Inatel, Sapucaí - MG - Brazil;FEEC/UNICAMP, Campinas - SP - Brazil
Venue:
Proceedings of the 2008 ACM symposium on Applied computing
Year:
2008

Citing 5
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On the choice of the wavelets for ECG data compression

ICASSP '00 Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 06
A Technique for High-Performance Data Compression

Computer

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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 scaling filter that minimizes the distortion of the compressed signal are used to determine the wavelet. The scaling filter is used to generate the coefficients of projection of the ECG signal in the scaling and wavelet subspaces, and only the most significant coefficients are retained. Coding methods are applied to the retained coefficients in order to improve the compression.