Customizing a discrete wavelet transform filter bank using the lifting scheme for improved compression ratios of an ECG

Author

McDarby, G. ; Heneghan, C. ; Cellar, B.G.

Author_Institution

Biomed. Syst. Lab., Univ. of New South Wales, Sydney, NSW, Australia

Volume

2

fYear

1999

fDate

36434

Abstract

The lifting scheme is used to adaptively change a biorthogonal filter bank, which implements a discrete wavelet transform (DWT), for improved compression of an ECG waveform. The filter bank is initialized using a Haar wavelet and the associated filters are then lifted so as to minimize a reconstruction error. This error is based on the difference between an input ECG and a reconstructed ECG using only a fixed number of absolute maximum coefficients in the wavelet transform. The algorithm used to find the minimum error is stochastic and iterative

Keywords

Haar transforms; adaptive filters; data compression; discrete wavelet transforms; electrocardiography; medical signal processing; signal reconstruction; DWT; ECG; ECG waveform; Haar wavelet; absolute maximum coefficients; biorthogonal filter bank; discrete wavelet transform filter bank; improved compression ratios; input ECG; iterative algorithm; lifting scheme; minimum error; reconstructed ECG; reconstruction error; stochastic algorithm; Australia; Discrete wavelet transforms; Educational institutions; Electrocardiography; Filter bank; Filtering theory; Iterative algorithms; Laboratories; Nonlinear filters; 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.1999.804106

Filename

804106