Wavelet-Based 2-D ECG Data Compression Method Using SPIHT and VQ Coding

Author

Sahraeian, S.M.E. ; Fatemizadeh, E.

Author_Institution

Sharif Univ. of Technol., Tehran

fYear

2007

fDate

9-12 Sept. 2007

Firstpage

133

Lastpage

137

Abstract

An improved wavelet-based 2-D ECG data compression method is presented which employs a double stage compression. In the first stage the set partitioning in hierarchical trees (SPIHT) algorithm is used to compress the 2-D data array formed by cutting and beat-aligning the heartbeat data sequence. In the second stage vector quantization is applied to the residual image obtained from the previous stage. The 2-D approach utilizes both inter-beat and inter-sample redundancies in the ECG signal. The proposed algorithm is applied to several records in the MIT-BIH arrhythmia database. Results show lower Percent Root mean square Difference (PRD) than 1-D methods and several 2-D methods for the same Compression Ratio (CR).

Keywords

data compression; electrocardiography; image coding; image sequences; medical image processing; vector quantisation; MIT-BIH arrhythmia database; SPIHT algorithm; VQ coding; double stage compression; electrocardiography; heartbeat data sequence; residual image; set partitioning-in-hierarchical trees; vector quantization; wavelet-based 2-D ECG data compression method; Data compression; Decoding; Electrocardiography; Fourier transforms; Image coding; Partitioning algorithms; Vector quantization; Wavelet domain; Wavelet packets; Wavelet transforms; Electrocardiogram (ECG) compression; Wavelet transform; set partitioning in hierarchical trees (SPIHT); vector quantization (VQ);

fLanguage

English

Publisher

ieee

Conference_Titel

EUROCON, 2007. The International Conference on "Computer as a Tool"

Conference_Location

Warsaw

Print_ISBN

978-1-4244-0813-9

Electronic_ISBN

978-1-4244-0813-9

Type

conf

DOI

10.1109/EURCON.2007.4400442

Filename

4400442