Data compression of ECG´s by high-degree polynomial approximation

Author

Philips, Wilfried ; De Jonghe, Geert

Author_Institution

Lab. for Electron. & Metrol., Gent, Belgium

Volume

39

Issue

4

fYear

1992

fDate

4/1/1992 12:00:00 AM

Firstpage

330

Lastpage

337

Abstract

A method for the compression of ECG (electrocardiogram) data is presented. The method is based on high-degree polynomial expansions. Data rules of about 350 b/s are achievable at an acceptable signal quality. The high compression is obtained by a carefully selected subdivision of the ECG signal into intervals that make optimal use of the special properties of the polynomial base functions. Each interval corresponds to one ECG period. The method is compared to the discrete cosine transform and is found to yield a significantly higher data compression for a given signal quality (quantified by mean squared error and peak error).

Keywords

data compression; electrocardiography; polynomials; ECG data compression; data rules; discrete cosine transform; high-degree polynomial approximation; mean squared error; peak error; signal quality; Blood pressure; Data compression; Discrete cosine transforms; Electrocardiography; Laboratories; Land mobile radio; Polynomials; Pulse compression methods; Signal processing; Smart cards; Electrocardiography; Humans; Mathematics; Models, Statistical; Sensitivity and Specificity; Signal Processing, Computer-Assisted;

fLanguage

English

Journal_Title

Biomedical Engineering, IEEE Transactions on

Publisher

ieee

ISSN

0018-9294

Type

jour

DOI

10.1109/10.126605

Filename

126605