Wavelet and wavelet packet compression of electrocardiograms

Author

Hilton, Michael L.

Author_Institution

Dept. of Comput. Sci., South Carolina Univ., Columbia, SC, USA

Volume

44

Issue

5

fYear

1997

fDate

5/1/1997 12:00:00 AM

Firstpage

394

Lastpage

402

Abstract

Wavelets and wavelet packets have recently emerged as powerful tools for signal compression. Wavelet and wavelet packet-based compression algorithms based on embedded zerotree wavelet (EZW) coding are developed for electrocardiogram (ECG) signals, and eight different wavelets are evaluated for their ability to compress Holter ECG data. Pilot data from a blind evaluation of compressed ECG´s by cardiologists suggest that the clinically useful information present in original ECG signals is preserved by 8:1 compression, and in most cases 16:1 compressed ECG´s are clinically useful.

Keywords

data compression; electrocardiography; medical signal processing; wavelet transforms; 16:1 compression; 8:1 compression; ECG signals; Holter ECG data; blind evaluation; electrocardiograms; embedded zerotree wavelet coding; signal compression; wavelet compression; wavelet packet compression; Cardiology; Compression algorithms; Data compression; Electrocardiography; Filters; Helium; Signal analysis; Wavelet analysis; Wavelet packets; Wavelet transforms; Algorithms; Electrocardiography; Electrocardiography, Ambulatory; Humans; Pilot Projects; Signal Processing, Computer-Assisted; Tachycardia, Supraventricular; Tachycardia, Ventricular;

fLanguage

English

Journal_Title

Biomedical Engineering, IEEE Transactions on

Publisher

ieee

ISSN

0018-9294

Type

jour

DOI

10.1109/10.568915

Filename

568915