ECG Signal Compression Based on Dc Equalization and Complexity Sorting

Author

Filho, Eddie B L ; Rodrigues, Nuno M M ; da Silva, E.A.B. ; De Faria, Sergio M M ; da Silva, V.M.M. ; De Carvalho, Murilo B.

Author_Institution

Centro de Cienc., Tecnol. e Inovacao do Polo Ind. de Manaus, Manaus

Volume

55

Issue

7

fYear

2008

fDate

7/1/2008 12:00:00 AM

Firstpage

1923

Lastpage

1926

Abstract

In this brief, we present new preprocessing techniques for electrocardiogram signals, namely, DC equalization and complexity sorting, which when applied can improve current 2-D compression algorithms. The experimental results with signals from the Massachusetts Institute of Technology - Beth Israel Hospital (MIT-BIH) database outperform the ones from many state-of-the-art schemes described in the literature.

Keywords

data compression; electrocardiography; equalisers; medical signal processing; Beth Israel Hospital database; DC equalization; ECG signal compression; Massachusetts Institute of Technology; complexity sorting; electrocardiogram preprocessing techniques; Automatic voltage control; Compression algorithms; Databases; Electrocardiography; Image coding; Image segmentation; Signal processing; Sorting; Telecommunications; Transform coding; Data compression; H.264/AVC; JPEG2000; electrocardiogram (ECG); preprocessing; Algorithms; Data Compression; Electrocardiography; Humans; Pattern Recognition, Automated; Reproducibility of Results; 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/TBME.2008.919880

Filename

4545012