ECG data compression with time-warped polynomials

Author

Philips, Wilfried

Author_Institution

Lab. for Electron., Gent, Belgium

Volume

40

Issue

11

fYear

1993

Firstpage

1095

Lastpage

1101

Abstract

Presents a new adaptive compression method for ECGs. The method represents each R-R interval by an optimally time-warped polynomial. It achieves a high-quality approximation at less than 250 bits/s. The author shows that the corresponding rates for other transform based schemes (the DCT and the DLT) are always higher. Also, the new method is less sensitive to errors in QRS detection and it removes more (white) noise from the signal. The reconstruction errors are distributed more uniformly in the new scheme and the peak error is usually lower. The reconstruction method is also useful for adaptive filtering of noisy ECG signals.

Keywords

data compression; electrocardiography; medical signal processing; polynomials; ECG data compression; R-R interval; adaptive compression method; adaptive filtering; noisy ECG signals; peak error; reconstruction errors; time-warped polynomials; white noise; Adaptive filters; Chromium; Data compression; Discrete cosine transforms; Discrete transforms; Electrocardiography; Polynomials; Reconstruction algorithms; Telephony; White noise; Algorithms; Electrocardiography; Signal Processing, Computer-Assisted;

fLanguage

English

Journal_Title

Biomedical Engineering, IEEE Transactions on

Publisher

ieee

ISSN

0018-9294

Type

jour

DOI

10.1109/10.245626

Filename

245626