ECG data compression using cut and align beats approach and 2-D transforms

Author

Lee, Hanwoo ; Buckley, Kevin M.

Author_Institution

Dept. of Electr. Eng., Minnesota Univ., Minneapolis, MN, USA

Volume

46

Issue

5

fYear

1999

fDate

5/1/1999 12:00:00 AM

Firstpage

556

Lastpage

564

Abstract

A new electrocardiogram (ECG) data compression method is presented which employs a two dimensional (2-D) transform. This 2-D transform method utilizes the fact that ECG signals generally show two types of redundancies-between adjacent heartbeats and between adjacent samples. A heartbeat data sequence is cut and beat-aligned to form a 2-D data array. Any 2-D compression method can then be applied. Transform coding using the 2-D discrete cosine transform (DCT) [2-D DCT] is employed here as an example. Using selections from the MIT-BIH arrhythmia and Medtronic databases, results are presented that illustrate substantial improvement in compression ratio over one-dimensional methods for comparable percent root-mean-square difference (PRD).

Keywords

data compression; electrocardiography; medical signal processing; transform coding; 2-D discrete cosine transform; 2-D transforms; ECG data compression; MIT-BIH arrhythmia database; Medtronic database; adjacent heartbeats; adjacent samples; cut and align beats approach; electrodiagnostics; one-dimensional methods; percent root-mean-square difference; Cardiac disease; Data compression; Databases; Discrete cosine transforms; Discrete transforms; Discrete wavelet transforms; Electrocardiography; Predictive models; Transform coding; Two dimensional displays; Algorithms; Arrhythmias, Cardiac; Electrocardiography; Humans; Models, Cardiovascular; Nonlinear Dynamics; Signal Processing, Computer-Assisted;

fLanguage

English

Journal_Title

Biomedical Engineering, IEEE Transactions on

Publisher

ieee

ISSN

0018-9294

Type

jour

DOI

10.1109/10.759056

Filename

759056