A real-time ECG data compression algorithm for a digital holter system

Author

Lee, Sangjoon ; Lee, Myoungho

Author_Institution

Department of Electrical and Electronic Engineering, Yonsei University, 134 Sinchon-dong, Seodaemun-gu, Seoul, Korea

fYear

2008

fDate

20-25 Aug. 2008

Firstpage

4736

Lastpage

4739

Abstract

This paper describes a real time ECG compression algorithm for a digital holter system. Proposed algorithm consists of five main procedures. First procedure is to differentiate signals, second is to choose a period of the differentiated signals and store them in memory, third is to perform the DCT(Discrete Cosine Transform) on the stored data, fourth is to apply a window filter, and fifth procedure is to apply Huffman Coding compression method on the data. This developed algorithm has been tested by applying 12 ECGs(electrocardiograms) from the MIT-BIH database and the PRD(Percent RMS Difference) and the CR(Compression Ratio) are calculated. It is found that the algorithm achieved a high level of compression performance with 1.82 of PRD and 8.82:1 of CR in average.

Keywords

Chromium; Compression algorithms; Data compression; Databases; Discrete cosine transforms; Electrocardiography; Filters; Huffman coding; Real time systems; Sampling methods; Algorithms; Automatic Data Processing; Computer Simulation; Computers; Data Compression; Electrocardiography; Humans; Models, Statistical; Signal Processing, Computer-Assisted; Software; Time Factors;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE

Conference_Location

Vancouver, BC

ISSN

1557-170X

Print_ISBN

978-1-4244-1814-5

Electronic_ISBN

1557-170X

Type

conf

DOI

10.1109/IEMBS.2008.4650271

Filename

4650271