ECG signal compression with a new wavelet method

Author

Lu, Zhitm ; Kim, Dong Youn ; Pearlman, William A.

Author_Institution

Dept. of Electr. Comput. & Syst. Eng., Rensselaer Polytech. Inst., Troy, NY, USA

Volume

2

fYear

1999

fDate

36434

Abstract

A wavelet electrocardiogram (ECG) signal encoder/decoder (codec) based on the set partitioning in hierarchical trees (SPIHT) compression algorithm is proposed. Experiments on selected records from the MIT-BIH arrhythmia database reveal that the proposed codec is significantly more efficient in compression and in computation than previously proposed ECG compression schemes. The coder also attains exact bit rate control and generates a bit stream progressive in quality or rate

Keywords

electrocardiography; medical signal processing; transform coding; wavelet transforms; ECG signal compression; IT-BIH arrhythmia database; bit stream; exact bit rate control; quality; set partitioning in hierarchical trees compression algorithm; wavelet electrocardiogram signal encoder/decoder; wavelet method; Bit rate; Chromium; Codecs; Data communication; Databases; Decoding; Electrocardiography; Image coding; Partitioning algorithms; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

[Engineering in Medicine and Biology, 1999. 21st Annual Conference and the 1999 Annual Fall Meetring of the Biomedical Engineering Society] BMES/EMBS Conference, 1999. Proceedings of the First Joint

Conference_Location

Atlanta, GA

ISSN

1094-687X

Print_ISBN

0-7803-5674-8

Type

conf

DOI

10.1109/IEMBS.1999.804109

Filename

804109