The choice of wavelet bases in electrocardiogram compression algorithm

Author

Xiurong Bao

Author_Institution

Phys. & Electron. Inf. Coll., Inner Mongolia Normal Univ., Hohhot, China

fYear

2011

fDate

26-28 July 2011

Firstpage

3266

Lastpage

3267

Abstract

This paper is associated with the choice of wavelet bases in electrocardiogram compression. The integer-to-integer wavelet transform in the algorithm, the zero-tree coding and the adaptive arithmetic coding in electrocardiogram is used. The wavelet library is composed of nine wavelets. The MIT-BIH arrhythmia database is used to test the algorithm. The experiment results show that it can significantly reduce the signal distortion by selecting optimal wavelet bases for each segment electrocardiogram in compression algorithm.

Keywords

adaptive codes; data compression; electrocardiography; medical signal processing; tree codes; wavelet transforms; MIT-BIH arrhythmia database; adaptive arithmetic coding; electrocardiogram compression algorithm; integer-to-integer wavelet transform; signal distortion; wavelet bases; wavelet library; zero-tree coding; Compression algorithms; Electrocardiography; Image coding; Wavelet analysis; Wavelet domain; Wavelet transforms; ECG(electrocardiogram); integer-to-integer wavelet transform; zero-tree coding;

fLanguage

English

Publisher

ieee

Conference_Titel

Multimedia Technology (ICMT), 2011 International Conference on

Conference_Location

Hangzhou

Print_ISBN

978-1-61284-771-9

Type

conf

DOI

10.1109/ICMT.2011.6001965

Filename

6001965