A multichannel template based data compression algorithm

Author

Paggetti, C. ; Lusini, M. ; Varanini, M. ; Taddei, A. ; Marchesi, C.

Author_Institution

Dip. Sistemi e Inf., Firenze Univ., Florence, Italy

fYear

1994

fDate

25-28 Sept. 1994

Firstpage

629

Lastpage

632

Abstract

Data compression methods for electrocardiogram (EGG) signals play an important role in computer processing and analysis of ECG. Ambulatory monitoring of ECG (AECG) is the area of application which mostly benefits from data compression techniques. AECG is usually done using the conventional Holter monitor, which consists of a 24 hour, 2-channel, analog, cassette recording of the EGG. Modern Holter monitors with digital memory cards are now expected to improve fidelity of recording and decrease system size. The cost of high capacity integrated memory cards makes it convenient to store ECG samples in compact form. A powerful template matching algorithm (ABS) has been recently introduced. The authors present a method which improves ABS algorithm, in order to achieve a better compression ratio as well as faster processing.<>

Keywords

data compression; electrocardiography; medical signal processing; patient monitoring; 2-channel analog cassette recording; 24 hr; ECG samples storage; Holter monitor; ambulatory ECG monitoring; compression ratio; computerized ECG processing; digital memory cards; electrocardiogram signals processing; high capacity integrated memory cards; multichannel template based data compression algorithm; Band pass filters; Computerized monitoring; Data compression; Databases; Discrete transforms; Electrocardiography; Filtering; Huffman coding; Redundancy; Signal processing;

fLanguage

English

Publisher

ieee

Conference_Titel

Computers in Cardiology 1994

Conference_Location

Bethesda, MD, USA

Print_ISBN

0-8186-6570-X

Type

conf

DOI

10.1109/CIC.1994.470113

Filename

470113